Fault Diagnosis of Hydraulic Pump Based on Multi-Sensor Data Fusion

Abstract:

Due to hydraulic pump’s multiple fault parameters, imprecision of fault diagnosis and bad fuzzy properties, a novel method of data preprocess to remove the noise disturbance and extract the characteristics of parameters, in which the order analysis is applied, is put forward. Then the hydraulic pump’s fault is diagnosed with decision-level data fusion of multiple sensors. The practical results showed that the fault diagnosis method based on D-S proof theory and decision-level data fusion could promote the accuracy and efficiency of hydraulic pump’s fault diagnosis.

• Periodical: Applied Mechanics and Materials (Volume 33)
• Pages: 539-543
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.33.539
• Online since: October 2010
• Authors: Ying Liu, Dun Wen Zuo, Yao Hua Wang, Jun Han, Xiao Qiang Yang
• Keywords: Data Fusion, D-S Proof Theory, Fault Diagnosis, Order Analysis

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