基于粗糙集理论的变压器故障诊断方法研究  

Based on the rough set theory to the fault diagnosis method of transformer

作　　者：张德春 孔娟 

机构地区：[1]兖矿鲁南化工有限公司

出　　处：《化工中间体》2013年第1期47-50,共4页

摘　　要：基于粗糙集理论的变压器故障诊断技术是针对当前现代化复杂的变压器故障检测而采取的诊断方法。它可有效处理变压器大量的、不确定、不完整、不精确的数据,并从中方便得出新的推理规则。具体做法是首先将检测和故障分析需要用的数据和信息存入数据库,经过处理、约简,提取相关属性核,形成相关处理规则。从实验结果可知,基于粗糙集的故障检测方法对处理大型数据非常适合,可以大大减少处理数据的工作量。Power Transformer Based on rough set fault diagnosis technology is the modern complex transformer fault detection and diagnosis method adopted. It can effectively handle the transformer bulk, uncertain, incomplete, imprecise data, and from the convenience that new rules of inference. The specific approach is the detection and fault analysis with data and information stored in the database, after treatment, reduction, extraction of the relevant attribute core, forming related processing rules. From the experimental results, the fault detection method based on rough set to deal with large-scale data is very suitable for processing data, can greatly reduce the workload.

关 键 词：故障诊断 粗糙集 变压器 属性核 属性约简 

分 类 号：TM407[电气工程—电器]