A Review on Applications of Wavelet Transform and Artificial Intelligence Systems in Fault Diagnosis of Rotating Machinery
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.