Open Access Fault Diagnosis of Wind Turbine Based on ELMD and FCM

Abstract: In view of failure characteristics of wind turbine gear box, this paper puts forward a method for fault diagnosis based on the ensemble local means decomposition (ELMD) and fuzzy C-means clustering (FCM) method. Resolve the vibration signal of different fault state of high speed gear box by ELMD to obtain the PF component, and obtain its singular value, which is composed of known sample and test sample as the feature vector. Cluster the known sample by using the FCM clustering, recognize and classify the test sample. The experimental results show that the method for fault diagnosis based on ELMD and FCM clustering has good diagnosis results