The Fault Pattern Identification of Hydraulic Pump Based on the Sensitive Component STSA

Abstract:

A novel method which is based on ensemble empirical mode decomposition (EEMD) and symbolic time series analysis (STSA) was proposed in this paper. Firstly, the vibration signal of hydraulic pump was decomposed into a number of stationary intrinsic mode functions (IMFs). Secondly, the sensitive component was extracted. Finally, the relative entropy (RE) was extracted from the sensitive components and they were used as the indicator to distinguish the faults of hydraulic pump. The research results of actual testing vibration signal demonstrated the rationality and effectiveness of the proposed method in this paper.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 790-794
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.790
• Online since: September 2014
• Authors: Yu Kui Wang*, Hong Ru Li, Peng Ye
• Keywords: EEMD, Fault Pattern Identification, Hydraulic Pump, Re, STSA

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