Fuzzy Interference Referee Model of Fault Diagnoses for Automobile Engine

Abstract:

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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:

Edited by:

Honghua Tan

Pages:

321-326

DOI:

10.4028/www.scientific.net/AMM.138-139.321

Citation:

Z. Wang et al., "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:

$35.00

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