Knowledge-Based Diagnosis System of Machine Tools

نویسندگان

  • Mujin Kang
  • Dong-Kyu Seo
چکیده

This paper outlines the development of a knowledgebased expert system for diagnosing machine tool failures. The complexity of machine tool failures and the trouble shooting procedures are deployed. The diagnostic knowledge is acquired from analysis of the troubleshooting and repair reports as well as from interviews with diagnosis engineers. The knowledge base is built using the object oriented modeling. The inference mechanism mainly based on backward reasoning, the flow of diagnosis process guided by the expert system, and the user interaction are explained with an example. A test run of the developed prototype system, developed with a commercial expert system shell, shows the feasibility of local problem solving without help of a service person sent from the machine tool maker.

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تاریخ انتشار 2001