The Integrative Expert System for Trouble Shooting and Machine Design
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摘要: 運用人工智能(AI)理論和知識工程技術,使傳統的設備故障診斷系統成為基于深知識的知識中心型專家系統。它與機械設計專家系統利用同樣的對象模型及其階層構造和性能框架,在進行設計推理,探索最優設計方案的同時,從深知識推導出診斷故障所需的因果關系,尋找設備的故障及其原因所在,從而使原本各自獨立存在、獨立運行的兩類專家系統融成一體,形成故障診斷,機械設計綜合專家系統。Abstract: Due to the application of the theory of artificial intelligence and knowledge engineering, the traditional system for trouble shooting has become the deep knowledge-based expert system. This expert system and expert system for machine design use the same object model, stratum structure and functional frame to make inferences of design, explore the optimization for design plan and in terms of deep knowledge to acquire causality for trouble shooting, looking for troubles of equipments and their generating reasons. Thus the two kinds of expert systems which were independently existing and proceeding in the past time can be in perfect harmony and has become the intergrative expert system for trouble shooting and machine design.
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Key words:
- knowledge engineering /
- expert system /
- trouble shooting /
- machine desing /
- deep knowledge
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