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

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 201-203)
• Pages: 1989-1992
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.201-203.1989
• Online since: February 2011
• Authors: Lei Wang, Tian Zhong Sui, Yu Song, Hai Xiang Zhao, Bo Ran Zhuang
• Keywords: Database, Expert System, Fault Diagnosis, Knowledge Rule, Reasoning Engine

References

[1] Bo-Suk Yang, Dong-Soo Lim and Andy Chit Chiow Tan: Expert Systems with Applications, Vol. 28 (2005), p.735.

[2] Yvonne Power and Parisa A. Bahri: Knowledge-Based systems, Vol. 18 (2005), p.89.

[3] Kaiqi Huang, Yuefei Huang and Xiaobo Liu: Chinese Mechanical Engineering, Vol. 15 (2004), p.1077 (In Chinese).

[4] Yancao Ma and Xiaoling Niu: Mining Machinery, Vol. 34 (2006), p.38 (In Chinese).

[5] Jingyu Liu: Petro-chemical Equipment Technology, Vol. 26 (2005), p.47 (In Chinese).