Output details
15 - General Engineering
University of Huddersfield
Article title
Application of power spectrum, cepstrum, higher order spectrum and neural network analyses for induction motor fault diagnosis
Type
D - Journal article
Title of journal
Mechanical Systems and Signal Processing
Article number
-
Volume number
39
Issue number
1-2
First page of article
342
ISSN of journal
0888-3270
Year of publication
2013
Number of additional authors
2
Additional information
The paper demonstrates an application of power spectrum, cepstrum, bispectrum and neural network for fault pattern extraction of induction motors. The potential for using the power spectrum, cepstrum, bispectrum and neural network as a means for differentiating between healthy and faulty induction motor operation is examined. It has been found that a combination of power spectrum, cepstrum and bispectrum plus neural network analyses could be a very useful tool for condition monitoring and fault diagnosis of induction motors.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
