IOTStreams 2020 : IoT Stream for Data Driven Predictive Maintenance

Topics of interest for the workshop include, but are not limited to:​

• Fault Detection and Diagnosis (FDD)

• Fault Isolation and Identification

• Estimation of Remaining Useful Life of Components, Machines, ….

• Forecasting of Product and Process Quality

• Early Failure and Anomaly Detection and Analysis

• Automatic Process Optimization

• Predictive and prescriptive maintenance

• Self-healing and Self-correction

• Incremental, evolving (data-driven and hybrid) models for FDD and anomaly detection

• Self-adaptive time-series based models for prognostics and forecasting

• Adaptive signal processing techniques for FDD and forecasting

• Concept Drift issues in dynamic predictive maintenance systems

• Active learning and Design of Experiment (DoE) in dynamic predictive maintenance

• Systems Fault tolerant control

• Industrial process monitoring and modelling

• Maintenance scheduling and on-demand maintenance planning

• Visual analytics and interactive Machine Learning

• Decision-making assistance and resource optimization

• Planning under uncertainty

• Analysis of usage patterns

• Explainable AI for predictive maintenance

• …

Real world applications such as:

• Manufacturing systems

• Production Processes and Factories of the Future (FoF)

• Wind turbines (offshore/onshore/floating)

• Smart management of energy demand/response

• Energy and power systems and networks

• Transport systems

• Power generation and distribution systems

• Intrusion detection and cyber security

• Internet of Things,

• Next Generation Aerospace Applications, etc.

• Big Data challenges in energy transition and digital transition

• Solar plant monitoring and management

• Active demand response

• Distributed renewable energy management and integration into smart grids

• Smart cities