植物故障诊断的定性和定量方法

A.H. Jones, B. Porter, R. Fripp
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引用次数: 7

摘要

讨论了在定性和定量故障诊断系统的开发中出现的与体系结构相关的问题,并解决了获取知识和有效使用知识的技术问题。在实验室试验台检测同一故障时,对两种故障检测系统的性能进行了直接比较。结论是,故障诊断系统必须对故障的出现敏感,但又足够健壮,不能产生假警报。我们还得出结论,与基于植物海侵的方法相关的断层特征更强,因此比基于模型的海侵更容易检测。然而,基于模型的方法可以非常有效地检测故障,这些故障表现为内部植物动力学的变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Qualitative and quantitative approaches to the diagnosis of plant faults
The architecturally relevant issues which arise in the development of both qualitative and quantitative fault-diagnostic systems are discussed, and the technical issues of acquiring the knowledge and using it effectively are addressed. A direct comparison is drawn between the performances of both fault-detection systems while detecting the same fault on a laboratory test rig. It is concluded that fault-diagnostic systems must be sensitive to the appearance of faults but robust enough not to produce false alarms. It is also concluded that the fault signatures associated with plant-transgression-based methods are stronger, and therefore easier to detect, than model-based transgressions. However, the model-based approach can be extremely effective at detecting faults which manifest themselves as changes in internal plant dynamics.<>
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