Description

This symposium aims to provide a high-level international forum for researchers, professionals, professors, PhD students and in general for specialists in diagnostics and monitoring of electrical systems, including machines, power electronics, adjustable speed drives, fuel cells and electrolysers, dielectric materials, signal processing methods, and related areas.

It is an excellent opportunity to present your ideas and results, to discover and discuss the latest developments and to exchange ideas, results and built new cooperations.

Schedule

  • Special session and tutorial proposals : 2018, December 16
  • Provisional full paper and tutorials proposals : 2019, January, 27
  • Acceptance notification : 2019, April 21
  • Final submissions : 2019, June 2

Call for paper Submit paper

Important Dates

Draft paper submission deadline:2019-01-27

Call for paper description

This symposium aims to provide a high-level international forum for researchers, professionals, professors, PhD students and in general for specialists in diagnostics and monitoring of electrical systems, including machines, power electronics, adjustable speed drives, fuel cells and electrolysers, dielectric materials, signal processing methods, and related areas. A special focus will on applications in transportation systems and especially on applications to aerospace embedded systems.

Topics of submission

Topics of the symposium
1.Electrical machines: Failure detection and location in electrical machines  using  vibration, audible noise, electrical or mechanical variables, sensors, insulation failures, electrical, mechanical and thermal models.
2.Power electronics: Diagnostics in power converters using input-output monitoring, thermal and/or electrical measurements on power semi-conductors, control supervision, signal processing.
3.Adjustable speed drives : Monitoring and diagnostics for ASDs using electrical machines, power converters and control systems supervision, computer-based signal processing and data analysis.
4.Methods and tools for diagnostic and prognostic: neural networks, fuzzy logic, artificial intelligence, genetic algorithms, expert systems, identification, signal processing techniques, observers…
5.Materials for electrical machines: Insulating and magnetic materials, remaining life models, ageing tests.
6.Tests for predictive maintenance: Partial discharge analysis and tests, new instruments for diagnostics.
7.Fuel Cells and Electrolyzers : models for diagnostic or ageing, tests
8.Power Systems and Power Networks, Embedded Systems, Emergency Applications

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Contact information

  • marlene.giamporcaro@inp-toulouse.fr

Sponsored By

  • IEEE Industrial Electronics Society
    IEEE Industry Applications Society
    IEEE Power Electronics Society