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首页> 外文OA文献 >Knowledge-based approaches to fault diagnosis. The development, implementation, evaluation and comparison of knowledge-based systems, incorporating deep and shallow knowledge, to aid in the diagnosis of faults in complex hydro-mechanical devices.
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Knowledge-based approaches to fault diagnosis. The development, implementation, evaluation and comparison of knowledge-based systems, incorporating deep and shallow knowledge, to aid in the diagnosis of faults in complex hydro-mechanical devices.

机译：基于知识的故障诊断方法。基于知识的系统的开发，实施，评估和比较，结合了深浅的知识，可帮助诊断复杂的水力机械设备中的故障。

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摘要

The use of knowledge-based systems to aid in the diagnosis of faults in physicaluddevices has grown considerably since their introduction during the 1970s. Theudmajority of the early knowledge-based systems incorporated shallow knowledge,udwhich sought to define simple cause and effect relationships between a symptom anduda fault, that could be encoded as a set of rules. Though such systems enjoyed muchudsuccess, it was recognised that they suffered from a number of inherent limitationsudsuch as inflexibility, inadequate explanation, and difficulties of knowledge elicitation.udMany of these limitations can be overcome by developing knowledge-based systemsudwhich contain deeper knowledge about the device being diagnosed. Such systems,udnow generally referred to as model-based systems, have shown much promise, butudthere has been little evidence to suggest that they have successfully made theudtransition from the research centre to the workplace.udThis thesis argues that knowledge-based systems are an appropriate tool for theuddiagnosis of faults in complex devices, and that both deep and shallow knowledgeudhave their part to play in this process. More specifically this thesis demonstrates howuda wide-ranging knowledge-based system for quality assurance, based upon shallowudknowledge, can be developed, and implemented. The resultant system, namedudDIPLOMA, not only diagnoses faults, but additionally provides advice and guidanceudon the assembly, disassembly, testing, inspection and repair of a highly complexudhydro-mechanical device. Additionally it is shown that a highly innovative modelbasedudsystem, named MIDAS, can be used to contribute to the provision ofuddiagnostic, explanatory and training facilities for the same hydro-mechanical device.udThe methods of designing, coding, implementing and evaluating both systems areudexplored in detail.udThe successful implementation and evaluation of the DIPLOMA and MIDASudsystems has shown that knowledge-based systems are an appropriate tool for theuddiagnosis of faults in complex hydro-mechanical devices, and that they make audbeneficial contribution to the business performance of the host organisation.udFurthermore, it has been demonstrated that the most effective and comprehensiveudknowledge-based approach to fault diagnosis is one which incorporates both deep andudshallow knowledge, so that the distinctive advantages of each can be realised in audsingle application. Finally, the research has provided evidence that the model-basedudapproach to diagnosis is highly flexible, and may, therefore, be an appropriateudtechnique for a wide range of industrial applications.
机译：自从1970年代问世以来，基于知识的系统用于辅助物理 ud设备故障诊断的使用已大大增加。早期的基于知识的系统多数都采用浅层知识，试图定义症状与故障之间的简单因果关系，可以将其编码为一组规则。尽管这样的系统非常成功，但人们认识到它们存在许多固有的局限性，例如缺乏灵活性，解释不足和知识获取的困难。 ud可以通过开发基于知识的系统来克服许多这些局限性 ud包含有关被诊断设备的更深入的知识。这样的系统，通常被称为基于模型的系统，已经显示出很大的希望，但是几乎没有证据表明它们已经成功地完成了从研究中心到工作场所的转换。 ud本文认为，知识基于系统的系统是对复杂设备中的故障进行 u诊断的合适工具，并且在此过程中，无论是基础知识还是基础知识，都应发挥作用。更具体地说，本论文演示了如何开发和实施基于浅层知识的，范围广泛的基于知识的质量保证系统。生成的名为 udDIPLOMA的系统不仅可以诊断故障，而且还可以为高度复杂的 udhydro机械设备的组装，拆卸，测试，检查和维修提供建议和指导。此外，还表明可以使用名为MIDAS的高度创新的基于模型的 udsystem来为同一液压机械设备提供 ud诊断，说明和培训设施。 ud设计，编码，实现和评估的方法 ud详细地研究了这两个系统。 udDIPLOMA和MIDAS udsystem的成功实施和评估表明，基于知识的系统是用于 uddiagnostic复杂水力机械设备故障的合适工具，并且它们可以 ud对东道国组织的业务绩效做出了有益的贡献。 ud此外，已经证明，最有效，最全面基于知识的故障诊断方法是一种结合了深浅知识的方法，因此，每个都可以在单个应用程序中实现。最终，该研究提供了证据，表明基于模型的诊断方法具有很高的灵活性，因此可能是适用于广泛工业应用的适当技术。

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    Doherty Neil Francis;

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  • 年度 1992
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  • 正文语种 en
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