摘要
粗糙集理论是一种较新的数据处理工具 ,可以有效地分析和处理不完备信息。运用粗糙集理论研究了因各种复杂因素造成的不完备信号模式下电力变压器故障诊断的方法。该方法利用油色谱分析得到的各种气体浓度百分比作为故障分类的条件属性集 ,考虑各种故障情况 ,建立决策表。利用决策表的约简方法进行化简 ,区分关键信号与冗余信号 ,导出故障诊断规则 ,从而达到不完备信号模式下快速准确地故障诊断的目的。通过实际应用表明 ,该方法简单、有效。
Rough set theory is a new data computing tool to deal with vagueness and uncertainty. The paper proposes new power transformer fault diagnosis approach to deal with the imperfect signals, caused by different cases. A decision table including all kinds of fault cases is established by considering the signals of variant gases. Using the reducing decision table the diagnosis rules can be obtained directly from fault samples which have been established. The method can tell indispensable fault signals from the dispensable ones. The practical fault diagnosis examples show that the method is sample, efficient and has excellent fault tolerance capability.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2003年第6期568-571,576,共5页
Chinese Journal of Scientific Instrument
基金
浙江省自然科学基金资助项目 ( 60 2 0 0 7)
