Paper Title:
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.

  Info
Periodical
Edited by
Dunwen Zuo, Hun Guo, Hongli Xu, Chun Su, Chunjie Liu and Weidong Jin
Pages
539-543
DOI
10.4028/www.scientific.net/AMM.33.539
Citation
Y. Liu, D. W. Zuo, Y. H. Wang, J. Han, X. Q. Yang, "Fault Diagnosis of Hydraulic Pump Based on Multi-Sensor Data Fusion", Applied Mechanics and Materials, Vol. 33, pp. 539-543, 2010
Online since
October 2010
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