Days: Tuesday, July 8th Wednesday, July 9th Thursday, July 10th
View this program: with abstractssession overviewtalk overview
Abstract: Numerous preventive maintenance policies have been published in the reliability and maintenance literature. Nevertheless, few examples on the application of preventive maintenance policies have been reported. The reasons are various, mainly because it is notoriously difficult to collect failure data. As a result, many developed maintenance policies divorce from the ground truth and are therefore inapplicable. This talk discusses some possible methods to shed some light on such problems. We tackle the challenge from a perspective of estimating system reliability based on sparse data and integrating various uncertainties in optimisation of maintenance policies. The uncertainties are stemmed from the uncertainty of parameter estimation on samples of small size, model specification uncertainty, and cost information uncertainty.
10:00 | Deep Reinforcement Learning for Dynamic Imperfect Maintenance of Deteriorating Systems Subject to Shocks (abstract) |
10:20 | Optimal maintenance decision-making for continuously degrading systems with imperfect repairs using Markov decision processes (abstract) |
10:40 | Deep Reinforcement Learning for Dynamic Imperfect Maintenance of Deteriorating Systems Subject to Shocks (abstract) |
10:00 | Reliability Assessment of Multi-state System with Dependent Degradation Process Based on Partially Sampling Monte-Carlo Algorithm (abstract) |
10:20 | Model-Based Load-Dependent Degradation Modeling For PEM Fuel Cells: A Multi-Health Index Approach Toward Energy Management in Multi-Stack Systems (abstract) |
10:40 | Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines (abstract) |
11:20 | An optimization model for periodic maintenance of industrial equipment with uninterrupted operation (abstract) |
11:40 | Risk Assessment of Condition-Based Maintenance Contracts (abstract) |
12:00 | Towards Automating xGSPN-mBSPN Model Generation for Scalable Fault Diagnostics in Dynamic Systems (abstract) |
12:20 | Predicting the remaining life of lithium-ion batteries: a frugal data-based approach (abstract) |
11:20 | Real-Time Monitoring of Nozzle Clogging in Cold Spray Process Using Airborne Acoustic Emission and Data-Driven Prognostics (abstract) |
11:40 | Data-driven Prognostics under uncertainty: A comparative study on the state-of-the-art HMMs (abstract) |
12:00 | Optimal maintenance planning for offshore wind farms considering time-varying costs and limited manpower (abstract) |
12:20 | Redefining Prognostic Essentials: Focus on Reliability, Robustness and Feasibility. (abstract) |
14:00 | Optimizing a maintenance strategy by combining age-based maintenance and an imperfect prognostic fault detection model (abstract) |
14:20 | On the Value of Predictive Spare Parts Printing as the Second Supply Mode (abstract) |
14:40 | A Probabilistic and Machine Learning Approach to Predictive Maintenance of Railway Tracks (abstract) |
15:00 | A data-driven robust approach to a problem of optimal replacement in maintenance (abstract) |
15:20 | Data-Driven Maintenance Optimization for a Unit with a Bivariate Deterioration Process (abstract) |
15:40 | From prognostics-based predictive maintenance to end-to-end predictive maintenance for complex systems (abstract) |
14:00 | Evaluation of Mission Reliability for a System under the Presence of Spare Parts (abstract) |
14:20 | ReLife: a free and open-source Python library for data-driven decision-making in asset management based on reliability theory (abstract) |
14:40 | Wireless real-time wear liner monitoring for predictive maintenance and life-cycle cost optimization in mineral processing transfer chutes (abstract) |
15:00 | Evaluating Maintenance Strategies for Locomotive Wheelsets Using Petri Net-Based Modelling Approach (abstract) |
15:20 | Reliability Prediction for Combined Hardware-Software Systems Using Survival Signature (abstract) |
16:20 | Decision Support Tool for Optimizing Performance and Recruitment in Football (abstract) |
16:40 | Optimal manufacturing-remanufacturing- transport planning in low carbon supply chain : Incorporating a carbon tax strategy (abstract) |
17:00 | Joint maintenance, mission abort and repairpersons assignment optimization problem in systems under random operating environment (abstract) |
17:20 | Optimizing budget allocation for multi-mission selective maintenance planning (abstract) |
17:40 | Reliable Dual-Channel Supply Chain: Integrating Leasing, Remanufacturing, Maintenance and Pricing Policies (abstract) |
16:20 | From knowledge graphs to probabilistic models for system-level diagnostics (abstract) |
16:40 | Comparative Performance of Machine Learning Architectures for Fault Detection and Diagnosis in Chemical Processes (abstract) |
17:00 | Federated Multi-source Domain Adaptation via Barycenter for Intelligent Fault Diagnosis of Machine Groups (abstract) |
17:20 | Low-Power Runtime Monitoring for Hardware Based on Time-Sensitive Behavioral Contracts (abstract) |
17:40 | Dependability and Reliability Analysis Model for Aging Aircraft Avionics Systems with Intermittent Fault Phenomenon (abstract) |
View this program: with abstractssession overviewtalk overview
Abstract : Infrastructure managers face crucial investment decisions in the context of the ecological and energy transition, as well as the aging of assets installed decades ago. They are increasingly constrained by budgets, workforce, skills, planned outages, supply chain tensions, and financing. Risk science and reliability theory methods provide a solid foundation for informing investment decisions for asset renewal and the development of new infrastructures. However, adopting these methods also requires organizational transformations, adequate data, and specific skills that are not part of the core business of infrastructure managers. This lecture presents the current state of industrial practices, the main scientific challenges, knowledge transfer issues, and the role of standardization in supporting these transformations.
09:20 | Application of a Transfer Learning-based method for lifetime prognosis on the example of spline joints (abstract) |
09:40 | Robust Fault Detection with Incomplete Data: A Weakly Supervised Approach (abstract) PRESENTER: Felix Waldhauser |
10:00 | Predictive Maintenance Optimization for Hybrid Solar and Wind Energy Systems Using Machine Learning Technique (abstract) |
10:20 | Hybrid Deep Learning Architecture for Remaining Useful Life Prediction of Fuel Cells in Electro-Hydrogen Generators Under Real Dynamic Operating Conditions (abstract) PRESENTER: Soufian Echabarri |
09:20 | Determination of supercapacitors' reliability based on accelerated life tests (abstract) |
09:40 | A Petri Net approach to predict the lifespan of a railway track asset (abstract) |
10:00 | Prognostic-Driven Energy Management and Maintenance Strategies for Multi- Stack Fuel Cells with Stochastic Degradation under Dynamic Loads (abstract) |
10:20 | Probabilistic modeling of false positives and false negatives in crack depth detection (abstract) |
11:00 | Task Grouping Optimization for Gas Insulated Substations (GIS) Predictive Maintenance: Trade-off between cost and environmental impact (abstract) |
11:20 | An Actuarial Approach to Data-Driven Warranty Pricing (abstract) |
11:40 | A Framework for Maintenance Scheduling in Reconfigurable Manufacturing Systems (abstract) PRESENTER: Huu Truong Le |
12:00 | A Data-Driven Approach for Optimising Rolling Stock Fleet Using Time Series Analysis and SARIMAX Model (abstract) PRESENTER: Md Mahabubur Rahman |
12:20 | On the effect of time-varying costs on condition- and time-based maintenance of a wind turbine (abstract) |
11:00 | A study of maintenance efficacy of Gangway in a liquified petroleum gas plant (abstract) |
11:20 | Effect of Component Replacement on the Failure Intensity of Series Systems under Hybrid Imperfect Maintenance (abstract) |
11:40 | Shannon entropy and its variants for the maintenance of large meshed system architectures (abstract) |
12:00 | Sustaining Legacy, Building Resilience: Best Practices in Asset Management (abstract) |
12:20 | Mitigating Contamination Risks: The Crucial Role of Breathers in Rotating Equipment Lubrication Tanks (abstract) |
14:00 | A flexible maintenance policy for systems with CBM and FBM components: leveraging opportunistic maintenance (abstract) |
14:20 | A Causal AI-Driven Framework for Sustainable Decision-Making in Operations Management (abstract) |
14:40 | A Concept of knowledge-based Recommendation System for Sustainable Maintenance in Flexible Manufacturing Systems (abstract) |
15:00 | Joint environmental and economic assessment of cutting tool replacement policies in Ti6Al4V milling under uncertain condition estimate (abstract) |
14:00 | Decision support for integrated production, maintenance and resource optimization (abstract) |
14:20 | Quality indicator prediction utilizing historical production data: A case study in steel manufacturing (abstract) |
14:40 | Trust is Good, Monitoring is Better: FPGA- & TEE-Based Monitoring for Malware-Detection (abstract) |
15:00 | Maintenance Techniques for Enhancing Reliability of Industrial Rotating and Stationary Equipment (abstract) |
15:40 | Probabilistic Framework for Enhancing Hydraulic Resilience in Water Networks: A Pressure-Based Critical Pipe Analysis (abstract) |
16:00 | Enhancing Rail Network Resilience: A Real-Time Hybrid Simulation-Optimisation Model for Disruption Management Using Genetic Algorithms (abstract) |
16:20 | Enhancing Rail Network Resilience: A Hybrid Simulation-Optimisation Model for Disruption Management Using Genetic Algorithms (abstract) |
15:40 | Optimal Design of Hybrid Offshore Renewable Systems with Realistic O&M Considerations (abstract) |
16:00 | Optimal joining strategy and profit analysis in M/M/1 retrial queue with service interruptions and impatience (abstract) |
16:20 | A Framework for Sharing Staff between Outbound and Inbound Airport Processes (abstract) |
View this program: with abstractssession overviewtalk overview
Abstract : Over the past 30 years, numerous papers have been published in the maintenance literature focusing on the maintenance of continuously deteriorating systems. A wide range of models have been proposed and developed to optimize maintenance decision-making for condition-based, predictive, or prescriptive maintenance. Recently, AI-based approaches have gained significant popularity. These methods show great promise for addressing a broad spectrum of problems and do not require theoretical hypotheses. In contrast, some maintenance models, particularly those dealing with continuous degradation spaces, rely on analytical developments grounded in the stochastic description of maintained systems. This talk focuses on this latter category of models, providing illustrative examples and exploring the advantages and drawbacks of this modeling framework for new developments. It discusses the contexts in which it can prove indispensable, in complementarity with other modeling frameworks e.g. in relation to sample sizes and data quality.
09:20 | Interpretable Maintenance Impact Quantification Using JEPA-KAN with Self-Supervised Contrastive Learning: an Aircraft case study (abstract) PRESENTER: Weikun Deng |
09:40 | A physic-informed neural network for predicting the differential pressure in a Desalination system (abstract) PRESENTER: Son Phan |
10:00 | Rare failure analysis - challenges and perspectives from high-tech industry (abstract) PRESENTER: Marek Skarupski |
10:20 | Minimizing Unscheduled Maintenance from an Aircraft and Rolling Stock Maintenance Perspective: Preventive Cost Model (abstract) |
09:20 | Dynamic Vapour Sorption Experiments: analysis of results, advantages and future development in supporting systems modelling. (abstract) |
09:40 | Preliminary Data Exploration for Bayesian Stochastic Petri Net-Based Degradation Modelling in Hydropower Assets (abstract) |
10:00 | Energy Pipeline Individual Defect Growth Prediction Using In-Line-Inspection Data (abstract) |
10:20 | Evaluation of the health state of oil-immersed transformer based on dissolved gas analysis: An empirical study (abstract) PRESENTER: Huu-Truong Le |
11:00 | A Maintenance Policy for Complex Systems with Multiple Components Arranged in Complex Configurations (abstract) |
11:20 | Proactive Maintenance of Protection Systems: Addressing Internal Degradation and External Shocks (abstract) |
11:40 | Hybrid Maintenance Strategy for Critical Equipment in the Food Industry: A Case Study in Meat Packaging (abstract) |
12:00 | Maintenance management for a protection system composed of two interdependent components (abstract) |
12:20 | Threshold-Based Maintenance for Systems with Unobservable Degradation: A Hybrid Preventive-Corrective Approach (abstract) PRESENTER: Hanser Jiménez |
11:00 | Advancing Bearing Lubrication by Harnessing Pressurized Air for Enhanced Reliability. (abstract) |
11:20 | Advanced Repair and Coating Methods for Enhancing Reliability in Rotating Equipment (abstract) |
11:40 | Zero inflated model for rare failure analysis (abstract) |
12:00 | Innovative Modeling of Age Replacement Policy for Infrastructure Renewal Decisions (abstract) |
14:00 | Evaluating reliability and maintenance effectiveness of a system modelled by a Continuous Time Hidden Markov Model (abstract) |
14:20 | Sewer pipe inspection, maintenance, and replacement optimization under incomplete information (abstract) |
14:40 | Statistical inference and imperfect maintenance in a bivariate Wiener degradation model considering unbalanced observations (abstract) |
15:00 | Sustainable Predictive Maintenance: Balancing Circularity and Spare Parts Availability Within Finite Maintenance Horizons (abstract) |
14:00 | Joint optimization of operation & maintenance for navy ships (abstract) |
14:20 | A Hybrid Inspection and Preventive Replacement Policy for Improved Maintenance Management (abstract) |
14:40 | Piecewise Deterministic Markov Decision Process for Opportunistic Maintenance Optimization in GPU Clusters Utilizing Direct-to-chip Liquid Cooling (abstract) |
15:00 | Model-Based Prognostics and Model-Free RL for Optimal Maintenance of Load-Sharing k-out-of-n:G Systems (abstract) |