一个基于模型的诊断专家系统

Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94 Pub Date : 1994-11-06 DOI:10.1109/TAI.1994.346426

Y. W. Purna, Takahira Yamaguchi

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引用次数: 0

摘要

描述了在开发一个名为“基于模型的诊断专家系统”的诊断专家系统方面正在进行的工作。开发MODEST的目的是为诊断专家系统提供一个健壮的框架。它基于基于模型的诊断范式，将诊断任务分为三个子任务(假设生成、假设检验和假设分类)，并利用多种知识和策略来执行每个子任务。到目前为止，该模型的假设生成和测试部分已经成功实现，并在制冷设备领域的可能故障诊断中进行了测试，取得了良好的效果。

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MODEST: a model-based diagnostic expert system

Describes work in progress on developing a diagnostic expert system called MODEST (MOdel-based Diagnostic Expert SysTem). MODEST has been being developed for the purpose of providing a robust framework for diagnostic expert systems. It is built based on the paradigm of model-based diagnosis, dividing the task of diagnosis into three subtasks (namely, hypothesis generation, hypothesis testing and hypothesis classification) and exploiting multifarious knowledge and strategies to perform each subtask. So far, the hypothesis generation and testing parts of MODEST have been successfully implemented and tested in diagnosing possible faults in the domain of refrigeration plants, with promising results.<>

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Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94

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