会议专题

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

2011 International Conference on Vibration,Structural Engineering and Measurement(2011年振动、结构工程与测量国际会议 ICVSEM 2011)

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)