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Study on Application of Petri Nets Model of Transformer Fault Diagnosis Based on Decision Table Reduction
Author(s): 
Pages: 88-92,76
Year: Issue:  6
Journal: TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY

Keyword:  粗糙集故障诊断变压器决策表约简Petri网络;
Abstract: 通过对变压器故障诊断知识中大量的冗余特征进行压缩或约简,将粗糙集理论(RST)引入到变压器故障诊断中,以提高以往依赖先验知识进行诊断智能方法的效率.根据决策表约简实现故障特征的压缩与规则的简化,并利用该结果建立Petri网络模型,可获得最优的网络模型以充分发挥其快速的并行推理能力,实现高效的变压器故障诊断.对比分析结果表明:约简后的特征具有与原来相同的分类能力,得出的主导特征也与实际相符;基于最小诊断规则所建立的故障诊断Petri网络模型,结构得到有效地优化,分类结果与原有的网络一致.最后通过实例分析验证了方法的准确性.
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