Rough Set Theory and Its Application in Fault Diagnosis in Nuclear Power Plant
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摘要: 粗糙(rough)集理论是一种数据分析的数学理论,可对不完整、不确定的数据进行处理。由于核动力故障特征复杂多样,具有不确定性,因此,将rough集理论引入核动力故障诊断中,可通过对历史数据的分析处理发现相互干扰的故障特征与故障之间的规律。本文简要介绍了rough集理论及其知识获取,描述了基于可辨识矩阵的约简算法,给出了rough集理论在核动力故障诊断中的应用实例。对燃料包壳破裂、稳压器波动管破裂、主蒸汽管道破裂3种典型故障的诊断结果表明,该方法对消除故障特征信息的冗余、简化及优化核动力故障信息非常有效。Abstract: Rough Set theory is the mathematic theory that can express and deal with vague and uncertain data.There is complicated and uncertain data in the fault feature of Nuclear Power Plant,so that Rough Set theory can be introduced to analyze and process the historical data to find out the rule of fault diagnosis of Nuclear Power Plant.This paper introduces the Rough Set theory and Knowledge Acquisition briefly,and describes the reduction algorithm based on discernibility matrix and its application in the fault diagnosis to generate rules of diagnosis.Using these rules,three kinds of model faults have been diagnosed correctly.The conclusion can be drawn that this method can reduce the redundancy of the fault feature,simplify and optimize the rule of diagnosis.
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Key words:
- Rough Set theory /
- Nuclear power /
- Fault Diagnosis
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