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General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(1): 82-87 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.93

Application of Wavelet Transform for Fault Diagnosis in Rotating Machinery

Hocine Bendjama, Salah Bouhouche, and Mohamed Seghir Boucherit

Abstract—Vibration analysis is essential in improving condition monitoring and fault diagnostics of rotating machinery. Many signal analysis methods are able to extract useful information from vibration data. Currently, the most of these methods use spectral analysis based on Fourier Transform (FT). However, these methods present some limitations; it is the case of non-stationary signals. In the present work, we are interested to the vibration signal analysis by the Wavelet Transform (WT). The WT is one of the most important methods for signal processing; it is especially suitable for non-stationary vibration measurements obtained from accelerometer sensors. The monitoring results indicate that the WT can diagnose the abnormal change in the measured data.

Index Terms—Vibration analysis, fault diagnosis, rotating machinery, spectral analysis, wavelet transform

H. Bendjama is with the Iron and Steel Applied Research Unit-CSC, BP 196, Annaba, Algeria, and the Process Control Laboratory, National Polytechnic Scool, BP 182, El-Harrach, Algiers, Algeria (e-mail: hocine_bendjama@yahoo.fr)
S. Bouhouche is with the Iron and Steel Applied Research Unit-CSC, BP 196, Annaba, Algeria (e-mail: bouhouche11@yahoo.fr).
M. S. Boucherit is with the Process Control Laboratory, National Polytechnic Scool, BP 182, El-Harrach, Algiers, Algeria (e-mail: ms_boucherit@yahoo.fr).

[PDF]

Cite: Hocine Bendjama, Salah Bouhouche, and Mohamed Seghir Boucherit, "Application of Wavelet Transform for Fault Diagnosis in Rotating Machinery," International Journal of Machine Learning and Computing vol. 2, no. 1, pp,82-87. Hocine Bendjama, Salah Bouhouche, and Mohamed Seghir Boucherit, 2012.

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