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Hierarchical Knowledge-Based System for Model-Based Failure Diagnosis in Power Plants

机译:基于分层知识的电厂基于模型的故障诊断系统

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摘要

A hierarchical, modular real-time failure diagnosis system for technical processes is presented. The symptom-detecting modules are written in algorithmic form and the methods used in our application are model based, but vibration analysis could also be used. The decision-making part is realized in a knowledge-based system module. First the algorithms and the expert system are tested in a simulator. The experimental system is realized with microcomputers. The lower level algorithmic modules run on a COMPAQ 386(R) microcomputer under GENESIS(TM), a process control software. The decision-making part is done in OPS-83 language and run on a separate microcomputer. An application to failure diagnosis in a coal power plant and some results are presented.

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