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IOTStreams 2020 : IoT Stream for Data Driven Predictive Maintenance
IOTStreams 2020 : IoT Stream for Data Driven Predictive Maintenance

IOTStreams 2020 : IoT Stream for Data Driven Predictive Maintenance

Ghent, Belgium
Event Date: September 14, 2020 - September 14, 2020
Submission Deadline: June 09, 2020
Notification of Acceptance: July 20, 2020
Camera Ready Version Due: July 27, 2020




About

This workshop will be centred on questions such as when to perform a maintenance action? How to estimate components current and future status? How accurate are the existing methods? Which data should be used? What decisions tools should be developed for prognostic. How can Data Mining and Machine Learning (Artificial Intelligence in general) contribute to answering these questions?

Therefore, this event is an opportunity to bridge researchers and engineers to discuss the emerging topics and the key trends. Previous edition of the workshop at ECML 2019 has been very popular, and we are planning to continue this success in 2020.


Call for Papers

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



Summary

IOTStreams 2020 : IoT Stream for Data Driven Predictive Maintenance will take place in Ghent, Belgium. It’s a 1 day event starting on Sep 14, 2020 (Monday) and will be winded up on Sep 14, 2020 (Monday).

IOTStreams 2020 falls under the following areas: MACHINE LEARNING, DATA, PREDICTIVE MAINTENANCE, INTERNET OF THINGS, etc. Submissions for this Workshop can be made by Jun 09, 2020. Authors can expect the result of submission by Jul 20, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 27, 2020 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the IOTStreams 2020

  • Short Name: IOTStreams 2020
  • Full Name: IoT Stream for Data Driven Predictive Maintenance
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of IOTStreams 2020
  • Event Type: Workshop
  • Website Link: https://abifet.wixsite.com/iotstream2020
  • Location/Address: Ghent, Belgium


Credits and Sources

[1] IOTStreams 2020 : IoT Stream for Data Driven Predictive Maintenance


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