Bearing Fault Detection Using Envelope Spectrum Based on EMD and TKEO.pdf

Fifth International Conference on Fuzzy Systems and Knowledge DiscoveryFifth International Conference on Fuzzy Systems and Knowledge Discovery Bearing Fault Detection Using Envelope Spectrum Based on EMD and TKEO Hui Li Haiqi Zheng Department of Electromechanical Engineering First Department Shijiazhuang Institute of Railway Technology Shijiazhuang Mechanical Engineering College Shijiazhuang, Hebei Province, China Shijiazhuang, Hebei Province, China Huili68@163.com jxgcxy@ Abstract on the other hand, is similar to the SHFT in that it also provides a time-frequency map of the signal being A signal analysis technique for bearing fault analyzed. Limited by the size of the basic wavelet detection based on Empirical Mode Decomposition function, the downside of the uniform resolution is (EMD) and Teager Kaiser Energy Operator (TKEO) is uniformly poor resolution. Moreover, an important presented. EMD can adaptively decompose vibration limitation of the wavelet analysis is its non-adaptive signal into a series of zero mean Amplitude nature. Once the basic wavelet is selected, one will