›› 2011, Vol. 31 ›› Issue (5): 137-141.DOI: 10.3969/j.issn.1006-1355-2011.05.032

• 6.信号处理与故障诊断 • Previous Articles     Next Articles

Study on Moving Detrended Fluctuation Analysis Applied in Machinery Fault Diagnosis

GUO Yu-xiu 1,ZHANG Jin-min 2,YUAN Jing 2   

  1. ( 1. Cangzhou Normal College, Physics and Electronic Information Dept, Cangzhou 061001， Hebei China;2. College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei China )
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-10-18 Published:2011-10-18
  • Contact: GUO Yu-xiu

滑动去趋势分析在机械故障诊断中的应用

郭玉秀1,张金敏2,袁 静2   

  1. ( 1. 沧州师范学院 物理与电子信息系, 河北 沧州 061001；2. 燕山大学 电气工程学院, 河北 秦皇岛 066004 ）
  • 通讯作者: 郭玉秀

Abstract: The method of Moving Detrended Fluctuation Analysis (MDFA) is studied, and the scaling exponent of the signal time sequence is obtained. It is found that the scaling exponent fluctuates greatly at the signal mutation point, while it fluctuates slightly in the trouble-free places. Thus, MDFA method can be used to detect the mutations in engineering signals. In this paper, the MDFA method is applied to the simulation of the signals due to mutation faults in gears and bearings, and the results show that the MDFA method is effective in mutations fault diagnosis of rotary machines.

Key words: vibration and wave, mechanical dynamics and vibration, mutations fault diagnosis, MDFA, scaling exponent

摘要： 研究滑动去趋势波动分析（Moving Detrended Fluctuation Analysis, MDFA）方法，得到信号时间序列的标度指数。在信号的突变点处，标度指数大幅度的波动，而在无故障处，标度指数只是在一个小范围内上下波动，因而MDFA方法可以检测工程信号中的突变。本文采用MDFA方法对齿轮和轴承因突变故障得到的信号进行仿真试验，分析结果证明了MDFA方法在旋转机械突变故障诊断中的有效性。

关键词: 振动与波, 机械动力学, 突变故障诊断, 滑动去趋势波动分析, 标度指数

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