For the purpose of de-noising and extracting the characteristic signal of frictional vibration，the friction and wear tests of friction pair were conducted on a reciprocating pin-on-disc tester. The de-noising of the signal of frictional vibration was acquired by decomposing the nonlinear and non-stationary frictional vibration signals with harmonic wavelet. Then the Hurst exponent of different order were achieved by the characteristic signals of frictional vibration which were analyzed by utilizing the algorithm of the detrended fluctuation analysis (DFA), these parameters were used to distinguish the property of data series and the level of trend strengthening. The results show that with the operation of friction and wear tests go on, the scaling index of the signal of frictional vibration presents a gradual increase in the trend of change. The characteristic signal of frictional vibration can be extracted by the detrended fluctuation analysis. And the changing of the scaling index of the signal of frictional vibration can be served as the condition monitoring and identification of the friction and wear state of friction pair.
李精明1,2，魏海军1，魏立队1，杨智远1，刘冲1,刘竑1. 基于谐波小波和去趋势波动分析的摩擦振动信号研究[J]. 振动与冲击, 2017, 36(15): 235-239.
LI Jing-ming1,2,WEI Hai-jun1,WEI Li-dui1,YANG Zhi-yuan1,LIU Chong1,LIU Hong1. Study on Frictional Vibration Signal Based on Harmonic Wavelet and Detrended Fluctuation Analysis. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(15): 235-239.
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