Fault Feature Extraction for Shaft System of Hydraulic Machinery Based on Wavelet Packet

Ye Zhou; Luo Ping Pan; Ping Ping Li

doi:10.4028/www.scientific.net/AMM.437.373

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 437Fault Feature Extraction for Shaft System of...

Fault Feature Extraction for Shaft System of Hydraulic Machinery Based on Wavelet Packet

Abstract:

Shaft fault is the most common fault for hydraulic machinery. In this paper, wavelet packet energy spectrum analysis method was used for multi frequency bands division of shaft monitoring signals. The variable bands frequency energy can construct feature vectors needed for fault diagnosis based on support vector machine, by integrating the procedure of wavelet packet analysis method and online monitoring technology, feature can be extracted in real time, and it make possible for real-time fault diagnosis and prediction of hydraulic machine.

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Periodical:

Applied Mechanics and Materials (Volume 437)

Pages:

373-376

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.437.373

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Online since:

October 2013

Authors:

Ye Zhou*, Luo Ping Pan, Ping Ping Li

Keywords:

Fault Diagnosis, Feature Extraction, Hydraulic Machinery, Shaft System, Wavelet Packet

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* - Corresponding Author

References

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