A review on induction motor online fault diagnosis

Authors :: Wu Bin
Ye Zhongming
Source :: Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435).
Publication Year :: 2002
Publisher :: Int. Acad. Publishers, 2002.
Abstract: Induction motor faults including mechanical and insulation faults are reviewed. The static current signatures of mechanical faults are summarized. The various applicable feature extraction methods for induction motor fault diagnosis are introduced. Application of artificial intelligence, including artificial neural networks, fuzzy logic and expert systems are reviewed. Recent achievements on the diagnosis of inverter-fed induction motor drive systems are reviewed.

Subjects :: Engineering
Artificial neural network
Machine theory
business.industry
Feature extraction
Control engineering
Hardware_PERFORMANCEANDRELIABILITY
computer.software_genre
Fault (power engineering)
Fuzzy logic
Expert system
business
human activities
computer
Induction motor

Database :: OpenAIRE
Journal :: Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435)
Accession number :: edsair.doi...........82bdff9558d9c4853881b1c54228dd08
Full Text :: https://doi.org/10.1109/ipemc.2000.883050