Research and design of an expert system of trouble diagnosis for the diesel engine in the railroad

Qizhong Cai; Zhixin Chen; Yingying Wei; Haiying Yuan; Yongnian Jing

doi:10.1117/12.717513

6 November 2006 Research and design of an expert system of trouble diagnosis for the diesel engine in the railroad

Qizhong Cai, Zhixin Chen, Yingying Wei, Haiying Yuan, Yongnian Jing

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 635751 (2006) https://doi.org/10.1117/12.717513
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

This paper presents an expert system of trouble diagnosis for the diesel engine in the railroad. It was expounded that the essential content of knowledge base for trouble diagnosis in the system. And it was researched that how to build reasoning system by logic theory method, accordingly the logic theory mechanism was designed based on the logic. Consequently the efficiency of diagnosis was improved and worked speedily and properly. The man-machine interface was designed well by using Visual C++ so that trouble diagnosis the expert system is usable for the diesel engine in the worked location. The system is so opened and extended that maintenance man fulfills the conversion form the experiential knowledge in the practice to the identifiable symbol in the system without the helping of technology engineering. Further more the veracity and of diagnosis would be improved in the process of trouble diagnosis for the diesel engine.

Citation Download Citation

Qizhong Cai, Zhixin Chen, Yingying Wei, Haiying Yuan, and Yongnian Jing "Research and design of an expert system of trouble diagnosis for the diesel engine in the railroad", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 635751 (6 November 2006); https://doi.org/10.1117/12.717513

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KEYWORDS

Databases

Logic

Control systems

Human-machine interfaces

Diagnostics

Artificial intelligence

C++

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