Fault detection of induction machine using semi-classical signal analysis method

Fadi Eleiwi, Taous Meriem Laleg Kirati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes the application of a recently developed signal analysis method to fault detection in induction machine. This method is based on a semi-classical analysis of a Schrodinger operator where a measured signal is considered as potential of this operator. This method provides new spectral parameters that are used to define new residuals. Results of simulation are presented.

Original languageEnglish (US)
Title of host publicationIET Conference on Control and Automation 2013
Subtitle of host publicationUniting Problems and Solutions
PublisherInstitution of Engineering and Technology
ISBN (Electronic)9781849197106
StatePublished - 2013
Event2013 IET Conference on Control and Automation: Uniting Problems and Solutions - Birmingham, United Kingdom
Duration: Jun 4 2013Jun 5 2013

Publication series

NameIET Conference on Control and Automation 2013: Uniting Problems and Solutions

Conference

Conference2013 IET Conference on Control and Automation: Uniting Problems and Solutions
Country/TerritoryUnited Kingdom
CityBirmingham
Period06/4/1306/5/13

Keywords

  • Fault detection
  • Induction machine
  • Semi-classical signal analysis

ASJC Scopus subject areas

  • Control and Optimization
  • Modeling and Simulation

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