Paper Title:
Study on Diesel Engine Fault Diagnosis Based on Integration of Bayesian and Genetic Neural Network Method
  Abstract

The characteristic vector of cylinder vibration signal is extracted by wavelet packet decomposition. The factor of selection is proposed to take adaptive integration on basis of improved super parent one dependence estimator Bayesian method and back propagation genetic algorithm neural network method. Experimental results on WD615 diesel engine showed that the method has high accuracy rate of detection.

  Info
Periodical
Advanced Materials Research (Volumes 311-313)
Chapter
Smart/Intelligent Materials/Intelligent Systems
Edited by
Zhongning Guo
Pages
2277-2281
DOI
10.4028/www.scientific.net/AMR.311-313.2277
Citation
X. Wang, H. L. Yu, S. L. Duan, J. Yan, "Study on Diesel Engine Fault Diagnosis Based on Integration of Bayesian and Genetic Neural Network Method", Advanced Materials Research, Vols. 311-313, pp. 2277-2281, 2011
Online since
August 2011
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