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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Main Authors: | Hassan Ali, Yasir, Abdul Rahman, Roslan, Raja Hamzah, Raja Ishak |
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Format: | Article |
Language: | English |
Published: |
Penerbit UTM
2014
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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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