Multi-fractal Vibration Signal Fault Diagnosis
In this paper, a multi-fractal algorithm for vibration signal fault diagnosis is proposed to compute the multi-fractal dimension (Dq) automatically and perform the fault diagnosis accurately. This extended G-P generalized multifractal dimension algorithm is based on the qth-order correlation integral and the Grassberger-Procaccia (G-P) mono fractal correlation dimension algorithm. Experiment results verify the feasibility and effectiveness of the proposed algorithm. The obtained Dq unambiguously identifies the vibration signals sampled at the various states and provides more information of the vibration signals than the mono fractal correlation dimension Dc. Hence it should be a more effective tool for vibration signal fault diagnosis. The analysis also indicates that the fluctuation amplitude of Dq is related with the frequency component distribution of the vibration signal.
Vibration signal Fault diagnosis Multi-fractal
Biqiang Du Guiji Tang
Department of Mechanical Engineering, North China Electric Power University, 219 North Yonghua Rd, Baoding Hebei 071003, China
国际会议
上海
英文
652-655
2011-10-21(万方平台首次上网日期,不代表论文的发表时间)