MIMAR2025: 13TH IMA INTERNATIONAL CONFERENCE ON MODELLING IN INDUSTRIAL MAINTENANCE AND RELIABILITY

This page contains an index consisting of author-provided keywords.

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- Age Replacement Models
- Delayed Renewal Reward Process
- Financial Discounting
- Optimal Renewal Strategy
1
1. Transfer chute
2
2. Wireless monitoring
3
3. Predictive maintenance
4
4. Liner wear
5
5. Life-cycle cost optimization
A
accelerated life tests	Determination of supercapacitors' reliability based on accelerated life tests
adaptive modes	Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs
Additive manufacturing	On the Value of Predictive Spare Parts Printing as the Second Supply Mode
advanced resource management
age replacement policy	Innovative Modeling of Age Replacement Policy for Infrastructure Renewal Decisions
Age-based maintenance	Optimizing a maintenance strategy by combining age-based maintenance and an imperfect prognostic fault detection model
Aging Aircraft
airborne acoustic emission	Real-Time Monitoring of Nozzle Clogging in Cold Spray Process Using Airborne Acoustic Emission and Data-Driven Prognostics
Artificial intelligence	A Concept of knowledge-based Recommendation System for Sustainable Maintenance in Flexible Manufacturing Systems Decision Support Tool for Optimizing Performance and Recruitment in Football
Artificial Neural Networks	Quality indicator prediction utilizing historical production data: A case study in steel manufacturing
Asset management	Preliminary Data Exploration for Bayesian Stochastic Petri Net-Based Degradation Modelling in Hydropower Assets
asset reliability
asymptotic expansions	Shannon entropy and its variants for the maintenance of large meshed system architectures
Automated Decision Making
Automation	Towards Automating xGSPN-mBSPN Model Generation for Scalable Fault Diagnostics in Dynamic Systems
aviation industry
B
barrier medium
Batteries	Predicting the remaining life of lithium-ion batteries: a frugal data-based approach From prognostics-based predictive maintenance to end-to-end predictive maintenance for complex systems
Bayesian Belief Nets
Bayesian learning	On the Value of Predictive Spare Parts Printing as the Second Supply Mode Mitigating Financial Risk in Maintenance Contracts for Heterogeneous Machines
Bayesian Networks	Towards Automating xGSPN-mBSPN Model Generation for Scalable Fault Diagnostics in Dynamic Systems
Bearing Lubrication
Bidirectional LSTM	Comparative Performance of Machine Learning Architectures for Fault Detection and Diagnosis in Chemical Processes
Binomial Distribution	A Probabilistic and Machine Learning Approach to Predictive Maintenance of Railway Tracks
Bivariate deterioration process	Data-Driven Maintenance Optimization for a Unit with a Bivariate Deterioration Process
Boltzmann-KAN	Interpretable Maintenance Impact Quantification Using JEPA-KAN with Self-Supervised Contrastive Learning: an Aircraft case study
Breakdown	Optimal joining strategy and profit analysis in M/M/1 retrial queue with service interruptions and impatience
Breathers	Mitigating Contamination Risks: The Crucial Role of Breathers in Rotating Equipment Lubrication Tanks
Budget planning	Optimizing budget allocation for multi-mission selective maintenance planning
C
carbon tax	Optimal manufacturing-remanufacturing- transport planning in low carbon supply chain : Incorporating a carbon tax strategy
Catalyst degradation	Model-Based Load-Dependent Degradation Modeling For PEM Fuel Cells: A Multi-Health Index Approach Toward Energy Management in Multi-Stack Systems
Causal AI	A Causal AI-Driven Framework for Sustainable Decision-Making in Operations Management
Chemical Process Monitoring	Comparative Performance of Machine Learning Architectures for Fault Detection and Diagnosis in Chemical Processes
Coiling Temperature	Quality indicator prediction utilizing historical production data: A case study in steel manufacturing
cold spray	Real-Time Monitoring of Nozzle Clogging in Cold Spray Process Using Airborne Acoustic Emission and Data-Driven Prognostics
Combined Hardware-Software Systems	Reliability Prediction for Combined Hardware-Software Systems Using Survival Signature
comparative study	Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs
Complex Systems	A Maintenance Policy for Complex Systems with Multiple Components Arranged in Complex Configurations
Compute-aided diagnostics	From knowledge graphs to probabilistic models for system-level diagnostics
Condition based maintenance	Joint optimization of operation & maintenance for navy ships
Condition Monitoring	Joint environmental and economic assessment of cutting tool replacement policies in Ti6Al4V milling under uncertain condition estimate Mitigating Financial Risk in Maintenance Contracts for Heterogeneous Machines
Condition-based maintenance	On the effect of time-varying costs on condition- and time-based maintenance of a wind turbine Data-Driven Maintenance Optimization for a Unit with a Bivariate Deterioration Process Optimal maintenance decision-making for continuously degrading systems with imperfect repairs using Markov decision processes A flexible maintenance policy for systems with CBM and FBM components: leveraging opportunistic maintenance Sewer pipe inspection, maintenance, and replacement optimization under incomplete information Mitigating Financial Risk in Maintenance Contracts for Heterogeneous Machines Imperfect condition-based maintenance policy for stochastic degradation systems in dynamic environments
Continuous degradation	Optimal maintenance decision-making for continuously degrading systems with imperfect repairs using Markov decision processes
Contract-Based Design	Low-Power Runtime Monitoring for Hardware Based on Time-Sensitive Behavioral Contracts
Crack depth detection
Cross-teaching multi-output neural network model	From Single Output Centralized Learning to Federated Learning: Introducing a Cross-Teaching Multi-Output Model for Physical Assets
D
Data decentralization	Federated Multi-source Domain Adaptation via Barycenter for Intelligent Fault Diagnosis of Machine Groups
Data modelling	Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data
data pre-processing	Rare failure analysis - challenges and perspectives from high-tech industry
Data Scarcity	Robust Fault Detection with Incomplete Data: A Weakly Supervised Approach
data-driven	Quality indicator prediction utilizing historical production data: A case study in steel manufacturing
Data-driven decision making	Data-Driven Maintenance Optimization for a Unit with a Bivariate Deterioration Process
Data-Driven Uncertainty	A data-driven robust approach to a problem of optimal replacement in maintenance
Deep reinforcement learning
Deep Reinforcement learning (DRL)
Defect prediction	Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data
Degradation	Evaluating Maintenance Strategies for Locomotive Wheelsets Using Petri Net-Based Modelling Approach
Degradation modeling	Preliminary Data Exploration for Bayesian Stochastic Petri Net-Based Degradation Modelling in Hydropower Assets
Degradation Modelling	Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines Statistical inference and imperfect maintenance in a bivariate Wiener degradation model considering unbalanced observations
Degradation Testing	Robust Fault Detection with Incomplete Data: A Weakly Supervised Approach
Delay Time Modeling
Delay-time	Hybrid Maintenance Strategy for Critical Equipment in the Food Industry: A Case Study in Meat Packaging A Hybrid Inspection and Preventive Replacement Policy for Improved Maintenance Management
Delay-time model	Maintenance management for a protection system composed of two interdependent components
Dependent degradation
Desalination system	A physic-informed neural network for predicting the differential pressure in a Desalination system
Design	Optimal Design of Hybrid Offshore Renewable Systems with Realistic O&M Considerations
Diagnostic reasoning	From knowledge graphs to probabilistic models for system-level diagnostics
Difference pressure	A physic-informed neural network for predicting the differential pressure in a Desalination system
diffusion	Dynamic Vapour Sorption Experiments: analysis of results, advantages and future development in supporting systems modelling.
Digital twin
Disruption Management
Dissolved gas analysis (DGA)	Evaluation of the health state of oil-immersed transformer based on dissolved gas analysis: An empirical study
Distribution barycenter	Federated Multi-source Domain Adaptation via Barycenter for Intelligent Fault Diagnosis of Machine Groups
DRL
Dual-Channel supply chain	Reliable Dual-Channel Supply Chain: Integrating Leasing, Remanufacturing, Maintenance and Pricing Policies
Durability enhancement	Model-Based Load-Dependent Degradation Modeling For PEM Fuel Cells: A Multi-Health Index Approach Toward Energy Management in Multi-Stack Systems
DVS	Dynamic Vapour Sorption Experiments: analysis of results, advantages and future development in supporting systems modelling.
Dynamic environment	Imperfect condition-based maintenance policy for stochastic degradation systems in dynamic environments
dynamic operating conditions	Hybrid Deep Learning Architecture for Remaining Useful Life Prediction of Fuel Cells in Electro-Hydrogen Generators Under Real Dynamic Operating Conditions
Dynamic programming	Optimal maintenance decision-making for continuously degrading systems with imperfect repairs using Markov decision processes Sustainable Predictive Maintenance: Balancing Circularity and Spare Parts Availability Within Finite Maintenance Horizons Joint optimization of operation & maintenance for navy ships
E
Embedded System Design	Trust is Good, Monitoring is Better: FPGA- & TEE-Based Monitoring for Malware-Detection
Energy management	Prognostic-Driven Energy Management and Maintenance Strategies for Multi- Stack Fuel Cells with Stochastic Degradation under Dynamic Loads
Energy pipeline	Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data
energy storage devices	Determination of supercapacitors' reliability based on accelerated life tests
Enhanced Reliability
Ensemble Learning	Comparative Performance of Machine Learning Architectures for Fault Detection and Diagnosis in Chemical Processes
Environmental assessment	Joint environmental and economic assessment of cutting tool replacement policies in Ti6Al4V milling under uncertain condition estimate
Environmental impact	Task Grouping Optimization for Gas Insulated Substations (GIS) Predictive Maintenance: Trade-off between cost and environmental impact
Equipment Lifecycle Extension
equipment reliability
expected equivalent annual cost	Innovative Modeling of Age Replacement Policy for Infrastructure Renewal Decisions
External shocks	Maintenance management for a protection system composed of two interdependent components
F
False negative
False positive
Fault Detection	Robust Fault Detection with Incomplete Data: A Weakly Supervised Approach
Fault Detection and Diagnosis	Towards Automating xGSPN-mBSPN Model Generation for Scalable Fault Diagnostics in Dynamic Systems
Fault Detection and Diagnosis (FDD)	Comparative Performance of Machine Learning Architectures for Fault Detection and Diagnosis in Chemical Processes
Fault Diagnosis	Reliability Prediction for Combined Hardware-Software Systems Using Survival Signature
feasibility	Redefining Prognostic Essentials: Focus on Reliability, Robustness and Feasibility.
Feature engineering	Failure Detection in Photovoltaic Inverters using feature engineering
Federated learning	From Single Output Centralized Learning to Federated Learning: Introducing a Cross-Teaching Multi-Output Model for Physical Assets
Federated multi-source transfer learning	Federated Multi-source Domain Adaptation via Barycenter for Intelligent Fault Diagnosis of Machine Groups
Fingerprint	Trust is Good, Monitoring is Better: FPGA- & TEE-Based Monitoring for Malware-Detection
Fleet Management	Evaluating Maintenance Strategies for Locomotive Wheelsets Using Petri Net-Based Modelling Approach
Flexible and reconfigurable manufacturing systems	A Concept of knowledge-based Recommendation System for Sustainable Maintenance in Flexible Manufacturing Systems
Football	Decision Support Tool for Optimizing Performance and Recruitment in Football
Forecasting	A Data-Driven Approach for Optimising Rolling Stock Fleet Using Time Series Analysis and SARIMAX Model
Framework	A Framework for Maintenance Scheduling in Reconfigurable Manufacturing Systems
frequency estimation procedure	Zero inflated model for rare failure analysis
Function approximation	Optimal maintenance decision-making for continuously degrading systems with imperfect repairs using Markov decision processes
G
gamma process	ReLife: an open-source Python library for data-driven decision-making in asset management based on reliability theory
Gangway	A study of maintenance efficacy of Gangway in a liquified petroleum gas plant
General aviation aircraft maintenance	Interpretable Maintenance Impact Quantification Using JEPA-KAN with Self-Supervised Contrastive Learning: an Aircraft case study
Genetic Algorithm	Enhancing Rail Network Resilience: A Hybrid Simulation-Optimisation Model for Disruption Management Using Genetic Algorithms
GPU clusters
Gurvich family
H
Hardware Monitors	Low-Power Runtime Monitoring for Hardware Based on Time-Sensitive Behavioral Contracts
Health index	Evaluation of the health state of oil-immersed transformer based on dissolved gas analysis: An empirical study
health indicator extraction	Hybrid Deep Learning Architecture for Remaining Useful Life Prediction of Fuel Cells in Electro-Hydrogen Generators Under Real Dynamic Operating Conditions
Health Indicators	Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines
Health monitoring and diagnosis	A Concept of knowledge-based Recommendation System for Sustainable Maintenance in Flexible Manufacturing Systems
Henry's mode	Dynamic Vapour Sorption Experiments: analysis of results, advantages and future development in supporting systems modelling.
Hidden Markov Models	Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs Evaluating reliability and maintenance effectiveness of a system modelled by a Continuous Time Hidden Markov Model
Hidden semi Markov Models	Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs
historical production data	Quality indicator prediction utilizing historical production data: A case study in steel manufacturing
Hot Strip Mill	Quality indicator prediction utilizing historical production data: A case study in steel manufacturing
HVOF Coating
Hybrid maintenance	Threshold-Based Maintenance for Systems with Unobservable Degradation: A Hybrid Preventive-Corrective Approach Hybrid Maintenance Strategy for Critical Equipment in the Food Industry: A Case Study in Meat Packaging
hybrid model
Hybrid offshore renewable energy systems	Optimal Design of Hybrid Offshore Renewable Systems with Realistic O&M Considerations
Hybrid Renewable Energy
Hydraulic Simulations	Probabilistic Framework for Enhancing Hydraulic Resilience in Water Networks: A Pressure-Based Critical Pipe Analysis
Hydroelectric powerplant	Preliminary Data Exploration for Bayesian Stochastic Petri Net-Based Degradation Modelling in Hydropower Assets
I
Impatience	Optimal joining strategy and profit analysis in M/M/1 retrial queue with service interruptions and impatience
Imperfect maintenance	Statistical inference and imperfect maintenance in a bivariate Wiener degradation model considering unbalanced observations Imperfect condition-based maintenance policy for stochastic degradation systems in dynamic environments
Imperfect prognostic model	Optimizing a maintenance strategy by combining age-based maintenance and an imperfect prognostic fault detection model
Imperfect repair	Optimal maintenance decision-making for continuously degrading systems with imperfect repairs using Markov decision processes
Imperfect repair action
Improvement factor
Incomplete Data	Robust Fault Detection with Incomplete Data: A Weakly Supervised Approach
industrial Repair Techniques
infrastructure renewal with different asset	Innovative Modeling of Age Replacement Policy for Infrastructure Renewal Decisions
Inline-inspection data	Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data
Inspection intervals	Proactive Maintenance of Protection Systems: Addressing Internal Degradation and External Shocks
Inspections	Sewer pipe inspection, maintenance, and replacement optimization under incomplete information
Integer linear Programming	Task Grouping Optimization for Gas Insulated Substations (GIS) Predictive Maintenance: Trade-off between cost and environmental impact
Intelligent fault diagnosis	Federated Multi-source Domain Adaptation via Barycenter for Intelligent Fault Diagnosis of Machine Groups
Interpretable maintenance impact identification	Interpretable Maintenance Impact Quantification Using JEPA-KAN with Self-Supervised Contrastive Learning: an Aircraft case study
Inverter	Failure Detection in Photovoltaic Inverters using feature engineering
K
Knowledge graph	From knowledge graphs to probabilistic models for system-level diagnostics
Knowledge modelling and knowledge based systems	A Concept of knowledge-based Recommendation System for Sustainable Maintenance in Flexible Manufacturing Systems
L
Langmuir mode	Dynamic Vapour Sorption Experiments: analysis of results, advantages and future development in supporting systems modelling.
large language models
large systems	Shannon entropy and its variants for the maintenance of large meshed system architectures
Laser Cladding
Latent Spaces	Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines
Leasing	Reliable Dual-Channel Supply Chain: Integrating Leasing, Remanufacturing, Maintenance and Pricing Policies
Lifespan prediction	A Petri Net approach to predict the lifespan of a railway track asset
liquid cooling
load sharing k-out-of-n:G system
Locomotive	Evaluating Maintenance Strategies for Locomotive Wheelsets Using Petri Net-Based Modelling Approach
Long-run average cost	Optimal maintenance decision-making for continuously degrading systems with imperfect repairs using Markov decision processes
Low-Power Design	Low-Power Runtime Monitoring for Hardware Based on Time-Sensitive Behavioral Contracts
Lubrication	Mitigating Contamination Risks: The Crucial Role of Breathers in Rotating Equipment Lubrication Tanks
M
M/M/1 retrial queue	Optimal joining strategy and profit analysis in M/M/1 retrial queue with service interruptions and impatience
Machine Learning	Hybrid Deep Learning Architecture for Remaining Useful Life Prediction of Fuel Cells in Electro-Hydrogen Generators Under Real Dynamic Operating Conditions Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines Decision Support Tool for Optimizing Performance and Recruitment in Football Comparative Performance of Machine Learning Architectures for Fault Detection and Diagnosis in Chemical Processes
Machining	Joint environmental and economic assessment of cutting tool replacement policies in Ti6Al4V milling under uncertain condition estimate
Maintenance	A Causal AI-Driven Framework for Sustainable Decision-Making in Operations Management A Data-Driven Approach for Optimising Rolling Stock Fleet Using Time Series Analysis and SARIMAX Model A Framework for Maintenance Scheduling in Reconfigurable Manufacturing Systems Optimal Design of Hybrid Offshore Renewable Systems with Realistic O&M Considerations A study of maintenance efficacy of Gangway in a liquified petroleum gas plant Reliable Dual-Channel Supply Chain: Integrating Leasing, Remanufacturing, Maintenance and Pricing Policies Evaluating Maintenance Strategies for Locomotive Wheelsets Using Petri Net-Based Modelling Approach
Maintenance decision-making	Preliminary Data Exploration for Bayesian Stochastic Petri Net-Based Degradation Modelling in Hydropower Assets
Maintenance effectiveness	Evaluating reliability and maintenance effectiveness of a system modelled by a Continuous Time Hidden Markov Model
maintenance efficiency
Maintenance modeling	Joint optimization of operation & maintenance for navy ships
Maintenance Modelling	A Hybrid Inspection and Preventive Replacement Policy for Improved Maintenance Management
Maintenance Optimization	Sewer pipe inspection, maintenance, and replacement optimization under incomplete information Optimizing a maintenance strategy by combining age-based maintenance and an imperfect prognostic fault detection model A Maintenance Policy for Complex Systems with Multiple Components Arranged in Complex Configurations A Hybrid Inspection and Preventive Replacement Policy for Improved Maintenance Management
maintenance planning	Optimal maintenance planning for offshore wind farms considering time-varying costs and limited manpower From prognostics-based predictive maintenance to end-to-end predictive maintenance for complex systems
Maintenance Policy	Maintenance management for a protection system composed of two interdependent components A Maintenance Policy for Complex Systems with Multiple Components Arranged in Complex Configurations A Hybrid Inspection and Preventive Replacement Policy for Improved Maintenance Management
maintenance scheduling
Maintence optimization	Optimizing budget allocation for multi-mission selective maintenance planning
manufacturing	Optimal manufacturing-remanufacturing- transport planning in low carbon supply chain : Incorporating a carbon tax strategy
Markov decision process	Optimal maintenance decision-making for continuously degrading systems with imperfect repairs using Markov decision processes On the Value of Predictive Spare Parts Printing as the Second Supply Mode
Mathematical model	Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data
Maximize reliability	Optimizing budget allocation for multi-mission selective maintenance planning
MBD	From knowledge graphs to probabilistic models for system-level diagnostics
MBSE	From knowledge graphs to probabilistic models for system-level diagnostics
MDP
Meat industry	Hybrid Maintenance Strategy for Critical Equipment in the Food Industry: A Case Study in Meat Packaging
MILP	Optimal manufacturing-remanufacturing- transport planning in low carbon supply chain : Incorporating a carbon tax strategy
Mineral oil	Evaluation of the health state of oil-immersed transformer based on dissolved gas analysis: An empirical study
Mission aboort policy	Joint maintenance, mission abort and repairpersons assignment optimization problem in systems under random operating environment
Mission critical systems	Joint maintenance, mission abort and repairpersons assignment optimization problem in systems under random operating environment
Mission reliability	Evaluation of Mission Reliability for a System in the Presence of Spare Parts
Mission-oriented system	Joint optimization of operation & maintenance for navy ships
Mitigating Contamination Risks	Mitigating Contamination Risks: The Crucial Role of Breathers in Rotating Equipment Lubrication Tanks
Model based prognostic	Model-Based Load-Dependent Degradation Modeling For PEM Fuel Cells: A Multi-Health Index Approach Toward Energy Management in Multi-Stack Systems
Model of exponential crack growth
Model-based diagnostics	From knowledge graphs to probabilistic models for system-level diagnostics
Model-based system engineering	From knowledge graphs to probabilistic models for system-level diagnostics
Modeling	Evaluating Maintenance Strategies for Locomotive Wheelsets Using Petri Net-Based Modelling Approach
Multi-stack PEMFC	Model-Based Load-Dependent Degradation Modeling For PEM Fuel Cells: A Multi-Health Index Approach Toward Energy Management in Multi-Stack Systems Prognostic-Driven Energy Management and Maintenance Strategies for Multi- Stack Fuel Cells with Stochastic Degradation under Dynamic Loads
Multi-state systems
Multimission selective maintenance	Optimizing budget allocation for multi-mission selective maintenance planning
N
networks	Shannon entropy and its variants for the maintenance of large meshed system architectures
NFF (No Failure Found)
non-homogeneous poisson process	ReLife: an open-source Python library for data-driven decision-making in asset management based on reliability theory
Non-homogenous Gamma process	Prognostic-Driven Energy Management and Maintenance Strategies for Multi- Stack Fuel Cells with Stochastic Degradation under Dynamic Loads
O
open-source
open-source software	ReLife: an open-source Python library for data-driven decision-making in asset management based on reliability theory
Operation	Optimal Design of Hybrid Offshore Renewable Systems with Realistic O&M Considerations
Operational Dependability and Reliability
Opportunistic maintenance	A flexible maintenance policy for systems with CBM and FBM components: leveraging opportunistic maintenance Sewer pipe inspection, maintenance, and replacement optimization under incomplete information A Hybrid Inspection and Preventive Replacement Policy for Improved Maintenance Management
Opportunistic maintenance optimization
Optimal joining strategy	Optimal joining strategy and profit analysis in M/M/1 retrial queue with service interruptions and impatience
optimal maintenance policy	ReLife: an open-source Python library for data-driven decision-making in asset management based on reliability theory
Optimal Replacement	A data-driven robust approach to a problem of optimal replacement in maintenance
Optimisation	Enhancing Rail Network Resilience: A Hybrid Simulation-Optimisation Model for Disruption Management Using Genetic Algorithms
Optimization	Predicting the remaining life of lithium-ion batteries: a frugal data-based approach Optimal maintenance planning for offshore wind farms considering time-varying costs and limited manpower Optimal Design of Hybrid Offshore Renewable Systems with Realistic O&M Considerations
optimization-simulation
optimizing asset performance
Overall Equipment Effectiveness	A Causal AI-Driven Framework for Sustainable Decision-Making in Operations Management
P
parameter fitting	Dynamic Vapour Sorption Experiments: analysis of results, advantages and future development in supporting systems modelling.
Partially observable Markov decision process	Sewer pipe inspection, maintenance, and replacement optimization under incomplete information
Partially Sampling Monte-Carlo
passenger flow
PDEs	Dynamic Vapour Sorption Experiments: analysis of results, advantages and future development in supporting systems modelling.
Petri Net	Evaluating Maintenance Strategies for Locomotive Wheelsets Using Petri Net-Based Modelling Approach
Petri nets	A Petri Net approach to predict the lifespan of a railway track asset
PHM	Prognostic-Driven Energy Management and Maintenance Strategies for Multi- Stack Fuel Cells with Stochastic Degradation under Dynamic Loads
Photovoltaic	Failure Detection in Photovoltaic Inverters using feature engineering
physic-informed neural network	A physic-informed neural network for predicting the differential pressure in a Desalination system
piecewise deterministic Markov Decision Processes
Planning
Power transformer condition assessment	Evaluation of the health state of oil-immersed transformer based on dissolved gas analysis: An empirical study
Power transformers	Evaluation of the health state of oil-immersed transformer based on dissolved gas analysis: An empirical study
predictive maintance	Real-Time Monitoring of Nozzle Clogging in Cold Spray Process Using Airborne Acoustic Emission and Data-Driven Prognostics
Predictive maintenance	Predicting the remaining life of lithium-ion batteries: a frugal data-based approach Prognostic-Driven Energy Management and Maintenance Strategies for Multi- Stack Fuel Cells with Stochastic Degradation under Dynamic Loads Task Grouping Optimization for Gas Insulated Substations (GIS) Predictive Maintenance: Trade-off between cost and environmental impact Sustainable Predictive Maintenance: Balancing Circularity and Spare Parts Availability Within Finite Maintenance Horizons From prognostics-based predictive maintenance to end-to-end predictive maintenance for complex systems Optimizing a maintenance strategy by combining age-based maintenance and an imperfect prognostic fault detection model
Predictive Models	An Actuarial Approach to Data-Driven Warranty Pricing
Predictive printing	On the Value of Predictive Spare Parts Printing as the Second Supply Mode
Pressurized Air
preventive maintenance	Innovative Modeling of Age Replacement Policy for Infrastructure Renewal Decisions
Pricing	Reliable Dual-Channel Supply Chain: Integrating Leasing, Remanufacturing, Maintenance and Pricing Policies
Probabilistic graphical models	From knowledge graphs to probabilistic models for system-level diagnostics
Probabilistic Modelling	Probabilistic Framework for Enhancing Hydraulic Resilience in Water Networks: A Pressure-Based Critical Pipe Analysis
Production
profit	Optimal manufacturing-remanufacturing- transport planning in low carbon supply chain : Incorporating a carbon tax strategy
Profit optimization	Optimal joining strategy and profit analysis in M/M/1 retrial queue with service interruptions and impatience
prognostic
prognostics	Real-Time Monitoring of Nozzle Clogging in Cold Spray Process Using Airborne Acoustic Emission and Data-Driven Prognostics From prognostics-based predictive maintenance to end-to-end predictive maintenance for complex systems Redefining Prognostic Essentials: Focus on Reliability, Robustness and Feasibility. From Single Output Centralized Learning to Federated Learning: Introducing a Cross-Teaching Multi-Output Model for Physical Assets
Prognostics and Health Management	Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs
protecting lubrication systems
Protection system	Maintenance management for a protection system composed of two interdependent components
Protection systems	Proactive Maintenance of Protection Systems: Addressing Internal Degradation and External Shocks
Proton exchange membrane fuel cell	Hybrid Deep Learning Architecture for Remaining Useful Life Prediction of Fuel Cells in Electro-Hydrogen Generators Under Real Dynamic Operating Conditions
Q
Quality prediction	Quality indicator prediction utilizing historical production data: A case study in steel manufacturing
R
Rail Network Disruption Management	Enhancing Rail Network Resilience: A Hybrid Simulation-Optimisation Model for Disruption Management Using Genetic Algorithms
Railway track asset	A Petri Net approach to predict the lifespan of a railway track asset
Railway Tracks	A Probabilistic and Machine Learning Approach to Predictive Maintenance of Railway Tracks
rare events	Zero inflated model for rare failure analysis
Reconfigurable Manufacturing Systems	A Framework for Maintenance Scheduling in Reconfigurable Manufacturing Systems
Reinforcement learning	Optimal maintenance decision-making for continuously degrading systems with imperfect repairs using Markov decision processes
reliability	ReLife: an open-source Python library for data-driven decision-making in asset management based on reliability theory Determination of supercapacitors' reliability based on accelerated life tests A study of maintenance efficacy of Gangway in a liquified petroleum gas plant Evaluating Maintenance Strategies for Locomotive Wheelsets Using Petri Net-Based Modelling Approach Redefining Prognostic Essentials: Focus on Reliability, Robustness and Feasibility.
Reliability and Maintainability
reliability culture
Reliability Enhancement
Reliability estimation	Evaluating reliability and maintenance effectiveness of a system modelled by a Continuous Time Hidden Markov Model
Reliability evaluation
Reliability Maintenance
reliability modeling	Rare failure analysis - challenges and perspectives from high-tech industry
Reliability Prediction	Reliability Prediction for Combined Hardware-Software Systems Using Survival Signature
Remaining Useful Life	Predicting the remaining life of lithium-ion batteries: a frugal data-based approach Hybrid Deep Learning Architecture for Remaining Useful Life Prediction of Fuel Cells in Electro-Hydrogen Generators Under Real Dynamic Operating Conditions Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines From Single Output Centralized Learning to Federated Learning: Introducing a Cross-Teaching Multi-Output Model for Physical Assets
remaining useful life (RUL)
remanufacturing	An Actuarial Approach to Data-Driven Warranty Pricing Reliable Dual-Channel Supply Chain: Integrating Leasing, Remanufacturing, Maintenance and Pricing Policies Sustainable Predictive Maintenance: Balancing Circularity and Spare Parts Availability Within Finite Maintenance Horizons Optimal manufacturing-remanufacturing- transport planning in low carbon supply chain : Incorporating a carbon tax strategy
Renewal criteria	A Petri Net approach to predict the lifespan of a railway track asset
renewal process	ReLife: an open-source Python library for data-driven decision-making in asset management based on reliability theory
Repair Techniques
Replacement policy	Joint environmental and economic assessment of cutting tool replacement policies in Ti6Al4V milling under uncertain condition estimate
Resilience	Probabilistic Framework for Enhancing Hydraulic Resilience in Water Networks: A Pressure-Based Critical Pipe Analysis
Resource
Resource constraints	Optimizing budget allocation for multi-mission selective maintenance planning
Reverse Engineering in Maintenance
Risk Management	A Maintenance Policy for Complex Systems with Multiple Components Arranged in Complex Configurations
Robust Markov Decision Processes	A data-driven robust approach to a problem of optimal replacement in maintenance
robustness	Redefining Prognostic Essentials: Focus on Reliability, Robustness and Feasibility.
Rolling Contact Fatigue	A Probabilistic and Machine Learning Approach to Predictive Maintenance of Railway Tracks
Rolling Stock	A Data-Driven Approach for Optimising Rolling Stock Fleet Using Time Series Analysis and SARIMAX Model
Rolling Stock Maintenance
Rotating Equipment
Runtime Monitoring	Low-Power Runtime Monitoring for Hardware Based on Time-Sensitive Behavioral Contracts
S
Scheduling
Security	Trust is Good, Monitoring is Better: FPGA- & TEE-Based Monitoring for Malware-Detection
Selective maintenance	Joint maintenance, mission abort and repairpersons assignment optimization problem in systems under random operating environment
Self-supervised learning	Interpretable Maintenance Impact Quantification Using JEPA-KAN with Self-Supervised Contrastive Learning: an Aircraft case study
Semi-Markov modelling
semi-urgent maintenance	A flexible maintenance policy for systems with CBM and FBM components: leveraging opportunistic maintenance
series system
Service contracts	Mitigating Financial Risk in Maintenance Contracts for Heterogeneous Machines
SF6 leakage	Task Grouping Optimization for Gas Insulated Substations (GIS) Predictive Maintenance: Trade-off between cost and environmental impact
Shaft Repair
Shannon entropy	Shannon entropy and its variants for the maintenance of large meshed system architectures
Shock effects	Proactive Maintenance of Protection Systems: Addressing Internal Degradation and External Shocks
shutdown planning
Simulation
solubility	Dynamic Vapour Sorption Experiments: analysis of results, advantages and future development in supporting systems modelling.
spare part management	Rare failure analysis - challenges and perspectives from high-tech industry
Spare parts	On the Value of Predictive Spare Parts Printing as the Second Supply Mode Evaluation of Mission Reliability for a System in the Presence of Spare Parts
Spare parts availability	Sustainable Predictive Maintenance: Balancing Circularity and Spare Parts Availability Within Finite Maintenance Horizons
spare parts management	Zero inflated model for rare failure analysis
Spline joints
Statistical inference	Rare failure analysis - challenges and perspectives from high-tech industry Statistical inference and imperfect maintenance in a bivariate Wiener degradation model considering unbalanced observations
step-stress-model
Stochastic degradation	Prognostic-Driven Energy Management and Maintenance Strategies for Multi- Stack Fuel Cells with Stochastic Degradation under Dynamic Loads Imperfect condition-based maintenance policy for stochastic degradation systems in dynamic environments
stochastic modelling	Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs
Stochastic Petri Nets	Towards Automating xGSPN-mBSPN Model Generation for Scalable Fault Diagnostics in Dynamic Systems
supply chain	Trust is Good, Monitoring is Better: FPGA- & TEE-Based Monitoring for Malware-Detection Optimal manufacturing-remanufacturing- transport planning in low carbon supply chain : Incorporating a carbon tax strategy
survival analysis	ReLife: an open-source Python library for data-driven decision-making in asset management based on reliability theory
Survival Signature	Reliability Prediction for Combined Hardware-Software Systems Using Survival Signature
Sustainability	A Causal AI-Driven Framework for Sustainable Decision-Making in Operations Management Joint environmental and economic assessment of cutting tool replacement policies in Ti6Al4V milling under uncertain condition estimate Optimal manufacturing-remanufacturing- transport planning in low carbon supply chain : Incorporating a carbon tax strategy
sustainable maintenance	A flexible maintenance policy for systems with CBM and FBM components: leveraging opportunistic maintenance Sustainable Predictive Maintenance: Balancing Circularity and Spare Parts Availability Within Finite Maintenance Horizons
System Modelling	Towards Automating xGSPN-mBSPN Model Generation for Scalable Fault Diagnostics in Dynamic Systems
System reliability	Evaluation of Mission Reliability for a System in the Presence of Spare Parts
System-level diagnosis	From knowledge graphs to probabilistic models for system-level diagnostics
T
Task grouping	Task Grouping Optimization for Gas Insulated Substations (GIS) Predictive Maintenance: Trade-off between cost and environmental impact
technological advancement
Tennessee Eastman Process	Comparative Performance of Machine Learning Architectures for Fault Detection and Diagnosis in Chemical Processes
threshold-based maintenance	Threshold-Based Maintenance for Systems with Unobservable Degradation: A Hybrid Preventive-Corrective Approach
time-based maintenance	On the effect of time-varying costs on condition- and time-based maintenance of a wind turbine
time-varying costs	On the effect of time-varying costs on condition- and time-based maintenance of a wind turbine
Timing	Trust is Good, Monitoring is Better: FPGA- & TEE-Based Monitoring for Malware-Detection
Total Plant Reliability Management (TPRM)
Train Rescheduling
Transfer Learning
transport	Optimal manufacturing-remanufacturing- transport planning in low carbon supply chain : Incorporating a carbon tax strategy
Trustworthy Electronics	Trust is Good, Monitoring is Better: FPGA- & TEE-Based Monitoring for Malware-Detection
U
uncertainty	Redefining Prognostic Essentials: Focus on Reliability, Robustness and Feasibility.
Uncertainty Quantification	Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines
Unobservable Degradation	Threshold-Based Maintenance for Systems with Unobservable Degradation: A Hybrid Preventive-Corrective Approach
Unscheduled Maintenance
W
Warranty	An Actuarial Approach to Data-Driven Warranty Pricing
Water Distribution Network	Probabilistic Framework for Enhancing Hydraulic Resilience in Water Networks: A Pressure-Based Critical Pipe Analysis
Weakly Supervised Learning	Robust Fault Detection with Incomplete Data: A Weakly Supervised Approach
Weibull distribution
Wiener process	Statistical inference and imperfect maintenance in a bivariate Wiener degradation model considering unbalanced observations
wind turbine maintenance	On the effect of time-varying costs on condition- and time-based maintenance of a wind turbine
windturbine maintenance	Optimal maintenance planning for offshore wind farms considering time-varying costs and limited manpower
Z
Zero Inflated Poisson	Zero inflated model for rare failure analysis

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