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      연삭가공 트러블슈팅을 위한 룰베이스 구성의 기초 = Basic Construction of Rule-Base for Grinding Trouble-shooting

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      https://www.riss.kr/link?id=A19597521

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      다국어 초록 (Multilingual Abstract)

      Cognition and control of grinding trouble occurring during the grinding process are classified into a quantitative knowl-edge which depends on experimental data and qualitative knowledge which relies on skilful engineers. Grinding opera-tions include a large number of functoinal parameters, since there are several ways of coping with grinding trouble. One is the qualitative method which depends on empirical knowledge utilizing the skilful experts from the workshop, the other is the quantitative method which utilizes the experimental data obtained by a sensor. But, they are all difficult to accomplish from the grinding trouble-shooting system. The reason is that grinding troubles are not easily controlled in the quantitative method, and therefore, trouble-shooting has mainly relied. on the knowledge of skilful engineers. Thus, there is an impor-tant issue of how a grinding trouble-shooting system can be designed and what knowledge is utilized among the large amount of grinding trouble information. In this paper, basic strategy to develop the grinding database of rule-based model, which is strongly depended upon experience and intuition, is described.
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      Cognition and control of grinding trouble occurring during the grinding process are classified into a quantitative knowl-edge which depends on experimental data and qualitative knowledge which relies on skilful engineers. Grinding opera-tions include ...

      Cognition and control of grinding trouble occurring during the grinding process are classified into a quantitative knowl-edge which depends on experimental data and qualitative knowledge which relies on skilful engineers. Grinding opera-tions include a large number of functoinal parameters, since there are several ways of coping with grinding trouble. One is the qualitative method which depends on empirical knowledge utilizing the skilful experts from the workshop, the other is the quantitative method which utilizes the experimental data obtained by a sensor. But, they are all difficult to accomplish from the grinding trouble-shooting system. The reason is that grinding troubles are not easily controlled in the quantitative method, and therefore, trouble-shooting has mainly relied. on the knowledge of skilful engineers. Thus, there is an impor-tant issue of how a grinding trouble-shooting system can be designed and what knowledge is utilized among the large amount of grinding trouble information. In this paper, basic strategy to develop the grinding database of rule-based model, which is strongly depended upon experience and intuition, is described.

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