Fault Diagnosis of Wind Turbines Based on Improved Neural Network

Qiang Lan; Peng Da Zhao; Man Li Wang

doi:10.4028/www.scientific.net/AMR.978.78

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 978Fault Diagnosis of Wind Turbines Based on Improved...

Fault Diagnosis of Wind Turbines Based on Improved Neural Network

Abstract:

The gearbox is an important module of wind turbine. In order to diagnosis the fault of wind turbine gearbox, a method based on the improved neural network is proposed. According to the characteristics of the wind turbine gearbox, several vibration sensors are set in the gearbox, so as to acquire the feature vector of gearbox. After training, the improved neural network is verified with some test samples. The result proved that the method is suitable for fault diagnosis in gearbox of wind turbine.. Keywords: wind turbine gearbox, fault diagnosis, particle swam, neural network.

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Periodical:

Advanced Materials Research (Volume 978)

Pages:

78-83

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.978.78

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Online since:

June 2014

Authors:

Qiang Lan*, Peng Da Zhao, Man Li Wang

Keywords:

Fault Diagnosis, Neural Network (NN), Particle Swam, Wind Turbine Gearbox

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