Model-based diagnosis using qualitative causal model and set-covering

M. Iwamasa, J. Suzuki, S. Mochiji, N. Sueda
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引用次数: 2

Abstract

A model-based diagnostic system is proposed for continuous physical devices such as a thermal power plant. The aim of model-based diagnosis is to find faulty components in the model from observations. Set-covering is an approach to diagnosis when the causal relations between symptoms and disorders are clearly defined. The new method combines the model-based approach and set-covering approach. The authors introduce the qualitative causal model (QCM) and define symptoms and qualitative disorders in QCM. The system has two submodules to calculate diagnosis from symptoms. The qualitative propagation module calculates the causal relations between the symptoms and the qualitative disorders. The BIPARTITE module based on set-covering generates all the diagnoses using these relations. The proposed method is proved to realize the diagnosis from first principles in the continuous physical domain.<>
基于定性因果模型和集覆盖的模型诊断
针对火电厂等连续物理设备,提出了一种基于模型的诊断系统。基于模型的诊断的目的是从观测中发现模型中的故障成分。集覆盖是一种诊断方法,当症状和疾病之间的因果关系是明确界定。该方法结合了基于模型的方法和集覆盖方法。作者引入了定性因果模型(QCM),并定义了定性因果模型中的症状和定性障碍。该系统有两个子模块用于根据症状计算诊断。定性传播模块计算症状与定性失调之间的因果关系。基于集合覆盖的BIPARTITE模块利用这些关系生成所有的诊断。结果表明,该方法可以实现连续物理域的第一性原理诊断。
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