Paper Title:
Fuzzy Interference Referee Model of Fault Diagnoses for Automobile Engine
  Abstract

According to the engine condition and the complexity, uncertainty and nonlinear of the corresponding parameters, it puts forward an engine failure evaluation model based on the comprehensive decision-making fuzzy inference. This method takes all the corresponding characteristic parameters such as engine oil, vibration, and performance parameters as the study factors. By analyzing the sensitivity degree of these parameters to the change of the engine and its trend over time, different membership functions will be established based on various factors by means of statistical analysis and inference. Entropy-based data fusion and expertise can determine the levels of weight distribution of each factor in the comprehensive evaluation, thus, the engine failure evaluation model based on the comprehensive decision-making fuzzy inference can be established.

  Info
Periodical
Chapter
Chapter 1: Applied Mechanics Mechanical Engineering
Edited by
Honghua Tan
Pages
321-326
DOI
10.4028/www.scientific.net/AMM.138-139.321
Citation
Z. Wang, L. F. Kong, W. K. Wang, "Fuzzy Interference Referee Model of Fault Diagnoses for Automobile Engine", Applied Mechanics and Materials, Vols. 138-139, pp. 321-326, 2012
Online since
November 2011
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Price
$32.00
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