articleIEEE Transactions on Energy ConversionDec 1, 2005Closed access

Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review

Texas A&M University

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Abstract

Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical machines. The manufacturers and users of these drives are now keen to include diagnostic features in the software to improve salability and reliability. Apart from locating specific harmonic components in the line current (popularly known as motor current signature analysis), other signals, such as speed, torque, noise, vibration etc., are also explored for their frequency contents. Sometimes, altogether different techniques, such as thermal measurements, chemical analysis, etc., are also employed to find out the nature and the degree of the fault. In addition, human involvement in the actual fault detection decision…

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Authors

3

Topics & keywords

Keywords
  • Fault (geology)
  • Computer science
  • Signature (topology)
  • Fault detection and isolation
  • Scope (computer science)
  • Reliability (semiconductor)
  • Electric motor
  • Pace
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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