Fault Diagnosis of Wind Turbine Bearings Based on Hilbert Space Feature Entropy

Xian Ming Sun; Chang Zheng Chen; Hao Zhou; Yan Lai Liang

doi:10.4028/www.scientific.net/AMR.971-973.472

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973Fault Diagnosis of Wind Turbine Bearings Based on...

Fault Diagnosis of Wind Turbine Bearings Based on Hilbert Space Feature Entropy

Abstract:

The fault diagnosis of wind turbines is difficult because of the wind speed changing. To solve this problem, a method designated as Hilbert space feature entropy is proposed. The information entropy based on HHT is used to describe the wind turbine bearing vibration signal under different wind speeds. Using this method to analysis the fault of the D70 type wind turbine bearings, which proved that this method can effectively identify the fault of wind turbine bearing under different wind speed . Thus the method can be used as index and basis of the fault diagnosis of wind turbine bearing.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

472-475

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.971-973.472

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Online since:

June 2014

Authors:

Xian Ming Sun*, Chang Zheng Chen, Hao Zhou, Yan Lai Liang

Keywords:

Bearings, HHT, Hilbert Space Feature Entropy, Wind Turbine (WT)

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* - Corresponding Author

References

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