Application of refined composite multiscale fluctuation dispersion entropy in hydraulic pumps fault diagnosis

JIANG Wanlu1,2,ZHAO Yapeng1,2,ZHANG Shuqing3,LI Man1,2

Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (8) : 7-16.

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PDF(2140 KB)
Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (8) : 7-16.

Application of refined composite multiscale fluctuation dispersion entropy in hydraulic pumps fault diagnosis

  • JIANG Wanlu1,2,ZHAO Yapeng1,2,ZHANG Shuqing3,LI Man1,2
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Abstract

The vibration signal of hydraulic pump has the characteristics of non-linearity and non-stationarity. Entropy algorithms have a unique advantage in this kind of signal analysis. However, the traditional entropy algorithms still have shortcomings of slow calculation speed, inaccurate entropy value and unstable entropy value in hydraulic pump vibration signal feature extraction. To extract fault feature information more effectively and improve fault diagnosis accuracy, the refined composite multiscale fluctuation dispersion entropy(RCMFDE) is introduced into the fault feature extraction of hydraulic pumps. A hydraulic pump fault diagnosis method based on RCMFDE and particle swarm optimization support vector machine(PSO-SVM) algorithm is proposed. Firstly, the RCMFDE values of different fault vibration signals are calculated and the multi-RCMFDE values are selected at appropriate scales as feature vectors to form feature samples. Then the feature samples are input to PSO-SVM for fault diagnosis. Through analyzing the simulation signals and hydraulic pump experiments signals, the proposed method is compared with the fault diagnosis methods based on multiscale sample entropy(MSE), multiscale permutation entropy(MPE), multiscale symbolic dynamic entropy(MSDE), multiscale dispersion entropy(MDE), refined composite multiscale dispersion entropy (RCMDE) and multiscale fluctuation dispersion entropy(MFDE). Experimental results show that the proposed method can accurately identify multiple types of hydraulic pump faults and effectively evaluate the performance degradation degree of hydraulic pump.

Key words

fluctuation dispersion entropy / refined composite multiscale fluctuation dispersion entropy / particle warm optimization support vector machine / fault diagnosis / hydraulic pump

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JIANG Wanlu1,2,ZHAO Yapeng1,2,ZHANG Shuqing3,LI Man1,2. Application of refined composite multiscale fluctuation dispersion entropy in hydraulic pumps fault diagnosis[J]. Journal of Vibration and Shock, 2022, 41(8): 7-16

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