DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-9 ( Sep, 2016 ) | |||||||||
Paper Title |
A Review on Applications of Wavelet Transform and Artificial Intelligence Systems in Fault Diagnosis of Rotating Machinery | |||||||||
Author Name |
Maamar Ali Saud Al Tobi. Geraint Bevan, Peter Wallace, David Harrison, K.P.Ramachandran | |||||||||
Affilition |
Caledonian College of Engineering P.O.Box : 2322, CPO Seeb 111 Sultanate of Oman ,Glasgow Caledonian University Cowcaddens | |||||||||
Pages |
70-82 | |||||||||
Abstract |
Rotating machines play a vital role in many process industries. Vibration analysis is a common form of monitoring their condition. This paper reviews the application of wavelet transforms and artificial intelligence, an advanced form of vibration analysis, for condition monitoring of rotating machines. The review considers different feature extraction methods and shows how wavelet transforms have been applied as a preprocessor for feature extraction with different families of mother wavelet function; and how different artificial intelligence methods have been used for fault classification. It concludes with remarks on the advantages and disadvantages of the applied methods and consideration of future developments to address the current gaps. Keywords- Rotating Machinery, Wavelet Transform, Artificial Intelligence, Genetic Algorithm, Accuracy Rate. | |||||||||
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