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Fault Reasoning and Diagnosis Technology Based on ACO CBR

机译:基于ACO&CBR的故障推理与诊断技术

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Due to the inaccuracy of reasoning conclusion because of the discrepancy among the cases ontology in the process of case reuse or revision, a new reasoning method for fault diagnosis based on ACO and CBR is proposed by this paper. This method uses CBR to reason new cases firstly, if it can match successfully brings to the corresponding results, else use ACO to reason the cases which have not matching in the case-library. As a result, the accuracy and efficiency of fault diagnosis are improved greatly and use the characteristic of the strong memory in CBR to repair the shortcoming of ACO reasoning method that can improve it capability. The method adopting fault cause-symptom matrix to describe the cases and case-library has many good characteristics of conciseness, convenience and extendibility.
机译:由于在病例重复使用或修订过程中案例本体中的病例本体之间的差异,因此本文提出了一种基于ACO和CBR的故障诊断的新推理方法。此方法首先使用CBR来推理新案例,如果它可以匹配成功带来相应的结果,否则使用ACO在案例库中没有匹配的情况。结果,大大提高了故障诊断的准确性和效率,并使用CBR中强内存的特性来修复可提高IT能力的ACO推理方法的缺点。采用故障造成症状矩阵的方法描述病例和案例库具有许多良好的简洁特征,方便和可扩展性。

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