Research and Implementation of an Expert System for Fault Diagnosis of Fan Based on Knowledge Rule

Abstract:

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An example of the rule-based expert system applied to the fan fault diagnosis is presented. The architecture and function of the fault diagnosis system are introduced. The expression of the fault diagnosis knowledge and the attribute of knowledge base based on the relational database have been studied. The hybrid reasoning technology was applied to the implementation of the diagnosis inference engine in the expert system. The presented fault diagnosis system is easy to modify the knowledge base with the experience accumulated in practice, and it has the advantages of expansibility, portability, concision, and high efficiency.

Info:

Periodical:

Advanced Materials Research (Volumes 201-203)

Edited by:

Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang

Pages:

1989-1992

DOI:

10.4028/www.scientific.net/AMR.201-203.1989

Citation:

L. Wang et al., "Research and Implementation of an Expert System for Fault Diagnosis of Fan Based on Knowledge Rule", Advanced Materials Research, Vols. 201-203, pp. 1989-1992, 2011

Online since:

February 2011

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Price:

$35.00

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