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水电机组故障诊断的集成知识表示与推理
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ABSTRACT：In consideration of the diversity and the complication of fault diagnosis knowledge for hydroelectric set, a new metasynthesizing knowledge-representation using neural network, fuzzy rules and visualized technique is proposed. And on the basis of the knowledge representation, an integrated reasoning method is completed. A Vibration Fault Diagnosing Example is given to demonstrate that the abilities of acquiring and representing knowledge and the inferring efficiency of hydroelectric sets fault diagnosis can be reasonably improved.
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