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...
Saved in:
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 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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Online fault detection of induction motors using frequency domain independent components analysis
by: Wang, Z., et al.
Published: (2014) -
A feature based frequency domain analysis algorithm for fault detection of induction motors
by: Wang, Z., et al.
Published: (2014) -
Online fault detection of induction motors using frequency domain independent components analysis
by: WANG, Zhaoxia, et al.
Published: (2011) -
A generic neurofuzzy model-based approach for detecting faults in induction motors
by: Tan, W.W., et al.
Published: (2014) -
A feature based frequency domain analysis algorithm for fault detection of induction motors
by: WANG, Zhaoxia, et al.
Published: (2011)