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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 575Machine Learning Tools in Machinery Faults...

Machine Learning Tools in Machinery Faults Diagnosis: A Review

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Abstract:

Machinery faults can be detected by various signal processing tools; however, they require human expertise to achieve maximum success. Machine learning tools can help to achieve automatic machinery-faults diagnosis. This paper provides a brief review of the most common machine learning tools.

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Materials Engineering and Automatic Control III

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Periodical:

Applied Mechanics and Materials (Volume 575)

Pages:

833-836

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.575.833

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Online since:

June 2014

Authors:

K.H. Hui*, Lim Meng Hee, M. Salman Leong

Keywords:

Artificial Intelligence (AI), Fault Diagnosis, Machine Learning, Machinery Fault

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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