IoTStream2020: IoT Stream for Data Driven Predictive Maintenance ECMLPKDD 2020 Ghent, Belgium, September 14-18, 2020 |
Conference website | https://abifet.wixsite.com/iotstream2020 |
Submission link | https://easychair.org/conferences/?conf=iotstream2020 |
Submission deadline | June 9, 2020 |
Maintenance is a critical issue in the industrial context for the prevention of high costs or injures. The emerging technologies of Industry 4.0 empowered data production and exchange which leads to new concepts and methodologies exploitation for maintenance. Intensive research efforts in data-driven predictive maintenance (PdM) has been producing encouraging outcomes. Therefore, the main objective of this workshop is to raise awareness of research trends and promote interdisciplinary discussion in this field.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
Regular and short papers presenting work completed or in progress are invited. Regular papers should not exceed 12 pages, while short papers are maximum of 6 pages. Papers must be written in English and are to be submitted in PDF format online via the Easychair submission interface:
https://easychair.org/conferences/?conf=iotstream2020
Each submission will be evaluated on the basis of relevance, significance of contribution, quality of presentation and technical quality by at least two members of the program committee.
Important Dates
Workshop paper submission deadline: 9th of June 2020
Workshop paper acceptance notification: 20th of July 2020
Workshop paper camera-ready deadline: 27th of July 2020
Workshop Day: 14th of September 2020 (alternatively, 18th of September)
List of Topics
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Fault Detection and Diagnosis (FDD)
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Fault Isolation and Identification
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Estimation of Remaining Useful Life of Components, Machines, ….
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Forecasting of Product and Process Quality
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Early Failure and Anomaly Detection and Analysis
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Automatic Process Optimization
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Self-healing and Self-correction
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Incremental, evolving (data-driven and hybrid) models for FDD and anomaly detection
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Self-adaptive time-series based models for prognostics and forecasting
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Adaptive signal processing techniques for FDD and forecasting
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Concept Drift issues in dynamic predictive maintenance systems
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Active learning and Design of Experiment (DoE) aspects in dynamic predictive maintenance
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Systems Fault-tolerant control
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Decision Support Systems for Predictive Maintenance
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Data visualization for Prescriptive Maintenance
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Real world applications such as:
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Manufacturing systems
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Production Processes and Factories of the Future (FoF)
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Wind turbines (offshore/onshore/floating)
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Smart management of energy demand/response
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Energy and power systems and networks
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Transport systems
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Power generation and distribution systems
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Intrusion detection and cyber security
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Internet of Things,
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Next Generation Airspace Applications, etc.
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Big Data challenges in energy transition and digital transition
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Solar plant monitoring and management
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Active demand response
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Distributed renewable energy management and integration into smart grids
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Smart cities
Committees
Program Committee
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Carlos Ferreira, LIAAD INESC Porto LA, ISEP, Portugal
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Edwin Lughofer, Johannes Kepler University of Linz, Austria
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Sylvie Charbonnier, Université Joseph Fourier-Grenoble, France
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Bruno Sielly Jales Costa, IFRN, Natal, Brazil
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Fernando Gomide, University of Campinas, Brazil
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José A. Iglesias, Universidad Carlos III de Madrid, Spain
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Anthony Fleury, Mines-Douai, Institut Mines-Télécom, France
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Teng Teck Hou, Nanyang Technological University, Singapore
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Plamen Angelov, Lancaster University, UK
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Igor Skrjanc, University of Ljubljana, Slovenia
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Indre Zliobaite, Aalto University, Austria
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Elaine Faria, Univ. Uberlandia, Brazil
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Mykola Pechenizkiy, TU Eindonvhen, Netherlands
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Raquel Sebastião, Univ. Aveiro, Portugal
Organizing committee
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Joao Gama, University of Porto, Porto, Portugal
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Albert Bifet, Telecom-Paris, Paris, France, University of Waikato, New Zealand
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Moamar Sayed Mouchaweh, Ecole Polytechnic, Douai, France,
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Grzegorz J. Nalepa, Jagiellonian University, Krakow, Poland
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gjn@gjn.re
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Sepideh Pashami, Halmstad University, Sweden
Venue
The workshop will be held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Ghent, Belgium, from the 14th to the 18th of September 2020.
Contact
All questions about submissions should be emailed to jgama@fep.up.pt