The fault diagnosis based on self-organizing fuzzy clustering Elman network in wind turbines

The wind turbine failure-prone transmission system (shaft, gearbox, high-speed axis and generator) were regarded as the research object in this article. A method based on self-organizing fuzzy clustering and the Elman network wind turbine faults diagnosis was proposed, which preprocessing the data samples with fuzzy clustering criterion collected by vibration sensors on wind turbine, and analysis the faults with the Elman neural network. The experimental results showed that the diagnostic accuracy of the results has been improved by the method comparing with the traditional method.