Fault Diagnosis for Shaft System of Hydropower Unit Based on LS-SVM

Ye Zhou; Shu Tang; Luo Ping Pan; Ping Ping Li

doi:10.4028/www.scientific.net/AMM.325-326.660

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 325-326Fault Diagnosis for Shaft System of Hydropower...

Fault Diagnosis for Shaft System of Hydropower Unit Based on LS-SVM

Abstract:

In this paper, shaft monitoring data in condition monitoring system of hydropower units was used to build the fault classification model based on the least square support vector machine (LS-SVM). By the wavelet packet signal decomposition for unit vibration signal, setting the signal energy components as the study sample, learning of fault diagnosis classifier was conducted, to achieve the diagnosis of common faults in shaft running of hydropower unit.

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Periodical:

Applied Mechanics and Materials (Volumes 325-326)

Pages:

660-664

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.325-326.660

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Online since:

June 2013

Authors:

Ye Zhou, Shu Tang, Luo Ping Pan, Ping Ping Li

Keywords:

Fault Diagnosis, Hydropower Unit, Least Squares Support Vector Machines (Ls-SVM), Shaft System, Wavelet Packet Decomposition

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References

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