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

机译:使用领域本体开发知识密集的CBR系统以进行故障诊断

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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:我们的工作旨在通过构建领域本体来实现一个系统,该系统包括收集汽轮机故障诊断领域的知识和专有技术。为了使用其类,子类和实例更好地利用本体和推理,选择了基于案例的推理(CBR)范例,因为它为诊断实际应用系统提供了理想的解决方案。在CBR中,COLIBRI提供了将案例特定知识与通用领域知识模型相结合的构建集成系统的设计,这是在设计知识密集型CBR(KI-CBR)系统期间提供帮助的环境。因此,本文提出了当前的工作,其目的是通过使用API​​ JColibri开发用于基于本体的故障诊断的CBR应用程序。

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