Degradation Status Identification of Hydraulic Pump Based on Local Characteristic-Scale Decomposition and JRD

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Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (20) : 54-59.

Tian Zaike Li Hongru Gu Hongqiang Xu Baohua

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Abstract

To solve the problem that the vibration signals of hydraulic pump usually appear with nonlinear and low signal to noise ratio. This paper presents a degradation fault feature extraction based on Local Characteristic-Scale Decomposition (LCD) and Jensen-renyi divergence (JRD). First of all, the hydraulic pump vibration signals was decomposed into a set of intrinsic scale components (ISC) by LCD; and then the renyi entropy of the first few ISC components which contains the main degradation feature information is calculated, and adopted as degradation feature vectors; Finally, the JRD between different degradation feature vectors is employed to diagnose the degradation status of hydraulic pump. By analyzing actural example data, the results show that the proposed method can recognise the degradation status of hydraulic pump effectively.

Key words

degradation feature extraction / Local Characteristic-Scale Decomposition / Renyi entropy / Jensen-renyi divergence

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Tian Zaike Li Hongru Gu Hongqiang Xu Baohua . Degradation Status Identification of Hydraulic Pump Based on Local Characteristic-Scale Decomposition and JRD[J]. Journal of Vibration and Shock, 2016, 35(20): 54-59

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