Acoustic emission signal analysis and artificial intelligence techniques in machine condition monitoring and fault diagnosis: a review

Acoustic Emission technique is a successful method in machinery condition monitoring and fault diagnosis due to its high sensitivity on locating micro cracks in high frequency domain. A recently developed method is by using artificial intelligence techniques as tools for routine maintenance. This pa...

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Bibliographic Details
Main Authors: Hassan Ali, Yasir, Abdul Rahman, Roslan, Raja Hamzah, Raja Ishak
Format: Article
Language:English
Published: Penerbit UTM 2014
Subjects:
Online Access:http://eprints.utm.my/id/eprint/51710/1/YasirHassanAli2014_Acousticemissionsignalanalysis.pdf
http://eprints.utm.my/id/eprint/51710/
http://dx.doi.org/10.11113/jt.v69.3121
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