Motor diagnostics and protection using inverter capabilities

Stefan Grubic, José M. Aller, Thomas G. Habetler

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This chapter outlines the state of the art on motor protection, monitoring, and failure prediction using inverter capabilities (sensing, data processing, and signal application) while feeding the electric motor. The methods included in this comprehensive review are thermal monitoring and protection schemes, monitoring schemes for insulation related issues, and methods that analyze the mechanical health of the motor or an asset connected to the motor. Other topics of interest include thermal modeling of electric machines, spectral analysis, expert systems, neural networks, and parameter estimation. The techniques described in this chapter are applied to induction machines, brushless direct current (DC) machines, and reluctance and synchronous motors.

Original languageEnglish
Title of host publicationFault Diagnosis for Robust Inverter Power Drives
PublisherInstitution of Engineering and Technology
Number of pages68
ISBN (Electronic)9781785614101
StatePublished - 1 Jan 2018

Bibliographical note

Publisher Copyright:
© The Institution of Engineering and Technology 2019.


  • Asynchronous machines
  • Brushless direct current machines
  • Condition monitoring
  • Data processing
  • Electric machine analysis computing
  • Electric machines
  • Electric motor
  • Expert systems
  • Failure prediction
  • Fault diagnosis
  • Insulation related issues
  • Inverter capabilities
  • Invertors
  • Machine testing
  • Machine theory
  • Mechanical health
  • Monitoring schemes
  • Motor diagnostics
  • Motor protection
  • Neural nets
  • Parameter estimation
  • Permanent magnet motors
  • Protection schemes
  • Reluctance motors
  • Signal application
  • Spectral analysis
  • Synchronous motors
  • Thermal modeling
  • Thermal monitoring


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