Application of Full Vector Frequency Slice Wavelet Transform Method in Bearing Fault Diagnosis
In order to solve the problem of inconsistent diagnosis results from the lack of input information in the traditional sin-gle-channel original signal in the fault diagnosis of rolling bearings,the full-vector FSWT method is proposed by combining the full-vector spectrum analysis technology and frequency slice wavelet transform.FSWT was used to analyze the homologous and mutually perpendicular dual-channel original samples to select the appropriate time-frequency section interval for envelope re-construction,complete vector fusion was performed for the reconstructed signals,and the characteristic frequency of fault data was extracted for fault diagnosis.Experimental results show that this method can not only extract fault characteristic signals well,but also diagnose fault types accurately and effectively.
Frequency Slice Wavelet TransformFull Vector SpectrumRolling BearingFault Diagnosis
NETL
NSTL
万方数据
维普
