Quantitative Analysis of Fault of Wind Turbines Based on Hilbert Space Feature Entropy

Xian Ming Sun; Chang Zheng Chen; Hao Zhou

doi:10.4028/www.scientific.net/AMR.971-973.1292

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973Quantitative Analysis of Fault of Wind Turbines...

Quantitative Analysis of Fault of Wind Turbines Based on Hilbert Space Feature Entropy

Abstract:

Aim at the problem of wind turbine gearbox fault diagnosis , a method of Hilbert space feature entropy is proposed. Using the information entropy theory, the faults information obtained in the HHT spectrum quantify to the value of Hilbert space feature entropy, thus achieving quantitative analysis of the failure of the wind turbine gearbox. The method was applied to fault diagnosis of the wind turbine gearboxes, which proved that the method is efficacious.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

1292-1295

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.971-973.1292

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Online since:

June 2014

Authors:

Xian Ming Sun*, Chang Zheng Chen, Hao Zhou

Keywords:

Fault Diagnosis, Feature Entropy, Gearbox, HHT, Quantitative Analysis, Wind Turbine (WT)

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* - Corresponding Author

References

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