The Intelligent Fault Diagnosis of Construction Machinery Based on Multi-Agent

Abstract:

The number of construction machinery faults is too much and its diagnosis are fuzzy and complex. We construct the fault hierarchy model by the means of hierarchy analysis and obtain all kinds of Possibility degree of faults factors through the triangular fuzzy complementary judgment matrix .Take the fault diagnosis of diesel engine fuel system, this paper establish intelligent fault diagnosis system, which has the ability of self-learning and self-correction using multi-agent technology.

• Periodical: Applied Mechanics and Materials (Volumes 48-49)
• Pages: 1265-1270
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.48-49.1265
• Online since: February 2011
• Authors: Yi Wang, Ping Jiang, Yao Hui Luo, Yan Qun Xie
• Keywords: Construction Machine, Fault Diagnosis, Fuzzy, Multi-Agent Technology

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