Online fault detection of induction motors using independent component analysis and fuzzy neural network

Online fault detection of induction motors using independent component analysis and fuzzy neural network

This paper proposes the use of independent component analysis and fuzzy neural network for online fault detection of induction motors. The most dominating components of the stator currents measured from laboratory motors are directly identified by an improved method of independent component analysis...

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Bibliographic Details
Main Authors: WANG, Zhaoxia, CHANG, C. S., GERMAN, X., TAN, W.W.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
Subjects:
Online Fault Detection
Induction Motors
Independent Component Analysis
Fuzzy neural network
Databases and Information Systems
Online Access:https://ink.library.smu.edu.sg/sis_research/6867
https://ink.library.smu.edu.sg/context/sis_research/article/7870/viewcontent/2009__Online_Fault_Detection_of_Induction_Motors_Using_Independent_Component_Analysis_and_Fuzzy_Neural_Network.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/6867
https://ink.library.smu.edu.sg/context/sis_research/article/7870/viewcontent/2009__Online_Fault_Detection_of_Induction_Motors_Using_Independent_Component_Analysis_and_Fuzzy_Neural_Network.pdf

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