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Expert System Environment for Fluid Power Achievements and Challenges

机译:用于流体电力成就和挑战的专家系统环境

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Among all Al (Artificial Intelligence) areas, Expert System has shown to be one of the most practical applications. This area has contributed with successful projects for both, academia and business fields (Lyons, 98). Despite its great use in several areas, the application of Al techniques is almost unknown in the fluid power domain. Perhaps this is due to the fact that to develop an expert system, the knowledge engineer, namely the system developer, has to convince the domain experts of the system technical feasibility, as well as of its financial return. Based on a research project extensively demonstrated at key events (Silva 2000a; Silva 2000b), the paper presents aspects related to an expert system applied to fluid power, whose knowledge framework representation combines rules, object-oriented modeling and semantic network. The project involved intensive interaction with fluid power experts, from academia and industry, as well as application of Internet technology for knowledge representation, validation and storing.
机译:在所有的Al(人工智能)领域,专家系统已被证明是最实用的应用之一。该区域已与成功的项目两个,学术界和商业领域(里昂,98)作出了贡献。尽管在一些领域的大量使用,铝的技术的应用是在流体动力领域几乎无人知晓。也许这是由于这样的事实,开发专家系统,知识工程,即系统开发商,必须说服该系统的技术可行性的领域专家,以及其财务回报。基于在关键事件广泛证实的研究项目(席尔瓦2000A,2000B席尔瓦),与专家系统本文提出的方面适用于流体动力,他们的知识框架表示联合收割机的规则,面向对象的建模和语义网络。该项目涉及流体动力专家的密切交流,学术界和产业界,以及互联网技术的应用知识表示,验证和存储。

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