Sequential fault detection for sealed deep groove ball bearings of in-wheel motor in variable operating conditions

Hongtao Xue, Man Wang, Zhongxing Li, Peng Chen
2017 Journal of Vibroengineering  
Sealed deep groove ball bearings (SDGBBs) are employed to perform the relevant duties of in-wheel motor. However, the unique construction and complex operating environment of in-wheel motor may aggravate the occurrence of SDGBB faults. Therefore, this study presents a new intelligent diagnosis method for detecting SDGBB faults of in-wheel motor. The method is constructed on the basis of optimal composition of symptom parameters (SPOC) and support vector machines (SVMs). SPOC, as the objects of
more » ... follow-on process, is proposed to obtain from symptom parameters (SPs) of multi-direction. Moreover, the optimal hyper-plane of two states is automatically obtained using soft margin SVM and SPOC, and then using multi-SVMs, the system of intelligent diagnosis is built to detect many faults and identify fault types. The experiment results confirmed that the proposed method can excellently perform fault detection and fault-type identification for the SDGBB of in-wheel motor in variable operating conditions. Keywords: sequential fault detection, sealed deep groove ball bearing, soft margin SVM, optimal composition of symptom parameter.
doi:10.21595/jve.2017.18413 fatcat:b2zodeqtlnfrrk7jgcqwbky244