Maintenance is a critical issue in the industrial context for the prevention of high costs or injures.<br>The emerging technologies of Industry 4.0 empowered data production and exchange which<br>lead to new concepts and methodologies exploitation for maintenance. Intensive research effort<br>in data driven Predictive Maintenance (PdM) has been producing encouraged outcomes.<br>Therefore, the main objective of this workshop is to raise awareness of research trends and<br>promote interdisciplinary discussion in this field.<br>Submission Guidelines<br>Regular and short papers presenting work completed or in progress are invited. Regular papers should not exceed 12 pages, while short papers are maximum 6 pages. Papers must be written in English and are to be submitted in PDF format online via the Easychair submission interface:<br>https://easychair.org/conferences/?conf=iotstream2019<br>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.<br>List of Topics<br>This workshop solicits contributions including but not limited to the following topics:<br>Fault Detection and Diagnosis (FDD)<br>Fault Isolation and Identification<br>Estimation of Remaining Useful Life of Components, Machines, ….<br>Forecasting of Product and Process Quality<br>Early Failure and Anomaly Detection and Analysis<br>Automatic Process Optimization<br>Self–healing and Self–correction<br>Incremental, evolving (data–driven and hybrid) models for FDD and anomaly detection<br>Self–adaptive time–series based models for prognostics and forecasting<br>Adaptive signal processing techniques for FDD and forecasting<br>Concept Drift issues in dynamic predictive maintenance systems<br>Active learning and Design of Experiment (DoE) aspects in dynamic predictive maintenance<br>Systems Fault tolerant control<br>Decision Support Systems for Predictive Maintenance<br>Data visualization for Prescriptive Maintenance<br>Real world applications such as:<br>Manufacturing systems<br>Production Processes and Factories of the Future (FoF)<br>Wind turbines (offshore/onshore/floating)<br>Smart management of energy demand/response<br>Energy and power systems and networks<br>Transport systems<br>Power generation and distribution systems<br>Intrusion detection and cyber security<br>Internet of Things,<br>Next Generation Airspace Applications, etc.<br>Big Data challenges in energy transition and digital transition<br>Solar plant monitoring and management<br>Active demand response<br>Distributed renewable energy management and integration into smart grids<br>Smart cities<br>
Abbrevation
IoT Stream
City
Würzburg
Country
Germany
Deadline Paper
Start Date
End Date
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