Fault Diagnosis for Large-Scale Wind Turbines

Zi Qiang Sun; Chang Zheng Chen; Shu Min Liang

doi:10.4028/www.scientific.net/AMM.220-223.740

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Fault Diagnosis for Large-Scale Wind Turbines

Fault Diagnosis for Large-Scale Wind Turbines

Abstract:

The method of spectrum analysis is present to detect fault signals of main shaft and increasing gearbox of large-scale wind turbines, so as to prevent from huge loss and serious accidents. The real-time signals detected from wind turbines will be compared with those stored in the database to find whether the amplitude of the signals exceed the alarm threshold. Frequency spectrum is obtained based on both wavelet transform and frequency spectrum analysis of collected signals through the graphic programming language–LabVIEW. The method can judge accurate fault type and its position on wind turbines, which present evidence for fault diagnosis of the gearbox and main shaft. Experimental results indicate that the method is effective.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

740-743

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.740

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Online since:

November 2012

Authors:

Zi Qiang Sun, Chang Zheng Chen, Shu Min Liang

Keywords:

Fault Diagnosis, Frequency Spectrum, Increasing Gearbox, Large-Scale Wind Turbine

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