Method for degradation feature extraction based on the ILCD fusion and multi-fractal detrended fluctuation analysis

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (6) : 233-238.

WANG Haotian1, DUAN Xiusheng1, SHAN Ganlin1, SUN Jian2, WANG Xing2

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Abstract

In the process of hydraulic pump degradation, the vibration signal is nonlinear,from which it is hard to extract effective degradation features. Therefore, a novel method based on the Improved Local Characteristic-scale Decomposition (ILCD) fusion and Multi-fractal Detrended Fluctuation Analysis (MF-DFA) was proposed. Vibration signals were initially decomposed by ILCD. Intrinsic Scale Components were selected based on the presented sensitive factor to obtain important feature informations effectively. Multi-dimensional vibration signals were fused according to the fusion rules for improving the feature information in the reconstructed signal. Furthermore, the fused signal was processed by MF-DFA which contains the window division, and the multi-fractal spectral parameters were extracted as degradation features. Finally, the proposed method was verified by the real sampled vibration signals of a hydraulic pump.

Key words

Improved local characteristic-scale decomposition algorithm / multi-channel signals fusion / sensitive factor / degradation feature extraction

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WANG Haotian1, DUAN Xiusheng1, SHAN Ganlin1, SUN Jian2, WANG Xing2. Method for degradation feature extraction based on the ILCD fusion and multi-fractal detrended fluctuation analysis[J]. Journal of Vibration and Shock, 2019, 38(6): 233-238

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