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Use a domain ontology to develop knowledge intensive CBR systems for fault diagnosis

机译:使用域本体进行知识密集型CBR系统进行故障诊断

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Our work aims at realizing a system which consists in gathering the knowledge and the know-how in the field of fault diagnosis for steam turbines, by the construction of domain ontology. In order to better exploit the ontology and reason using its classes, sub-classes and instances a Case Based Reasoning (CBR) paradigm is chosen, as it offers an ideal solution for diagnostic of real application systems. In the CBR the design of build integrated systems that combine case specific knowledge with models of general domain knowledge is offered by COLIBRI, it is an environment to assist during the design of knowledge intensive CBR (KI-CBR) systems. The paper, therefore, presents a current work which has for objective to develop a CBR application for fault diagnosis based on ontology, by using the API JColibri.
机译:我们的工作旨在实现一个系统,该系统由域本体的构建来集中在蒸汽涡轮机的故障诊断领域中的知识和专业知识。 为了更好地利用本体和原因,使用其类,子类和实例选择基于案例的推理(CBR)范例,因为它为实际应用系统提供了理想的解决方案。 在CBR中,构建集成系统的设计将具体知识与大型域知识模型相结合,是Colibri的,是在知识密集型CBR(KI-CBR)系统设计期间有助于协助的环境。 因此,本文介绍了目前的工作,该工作对于通过使用API JColibri基于本体的基于本体的故障诊断开发CBR应用。

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