A time-frequency filtering method based on generalized S transform and its application in machinery fault diagnosis
Aimed at the problem of low resolution and cross term interference of the traditional time-frequency analysis methods, a new time-frequency filtering method based on generalized S transform is proposed. The method is extended under the premise of the linearity, lossless invertibility, high timefrequency resolution of S transform. On the basis, a coefficient which is direct to the signal energy distribution is introduced. In this way, the resolution of the S transform can be adjust adaptively. Eventually, this method is applied to the time-frequency filtering. The results of simulation and faulty bearing show that the proposed methodology can achieve good effect of noise reduction, and be more suitable for the non-stationary characteristics of vibration signals.
machinery fault diagnosis time-frequency filtering generalized S transform
Xiuwen Li Jianhong Yang Min Li Jinwu Xu
School of Mechanical Engineering, University of Science and Technology Beijing,Beijing 100083, China
国际会议
2011 International Conference on Mechatronics and Applied Mechanics(2011年机电一体化与应用力学国际会议 ICMAM 2011)
香港
英文
531-537
2011-12-27(万方平台首次上网日期,不代表论文的发表时间)