广东电力Issue(3)：86-91,6.DOI:10.3969/j.issn.1007-290X.2015.03.020
变压器油中溶解气体故障诊断的改进模糊算法
Improved Fuzzy Algorithm for Fault Diagnosis on Dissolved Gas in Transformer Oil
周健 1黄昕 2邹剑 1黎廷广1
作者信息
- 1. 广东电网有限责任公司茂名供电局，广东 茂名 525000
- 2. 北京四方继保自动化股份有限公司，北京 100085
- 折叠
摘要
Abstract
Reasons for transformer faults are very complex and there are fuzziness and uncertainty in connection between fault phenomenon and mechanism. Existing classical fault diagnosis algorithm is widely applied but there are some inherent demerits. Therefore,genetic algorithm was introduced for improving iterative self-organizing data analysis techniques algo-rithm(ISODATA)and optimizing diagnosis method was proposed as well which could improve effectiveness of the algorithm and reduce dependency of ISODATA on initial cluster. Combining specific diagnosis cases,various index of the diagnosis schemes before and after improvement were compared and analyzed that verified veracity and high efficiency of the pro-posed scheme. It was proved that the fuzzy ISODATA based on genetic algorithm was more in accordance with practical re-quirements and convenient to carry out fault diagnosis on oil immersed transformer.关键词
变压器/故障诊断/模糊算法/遗传算法/聚类优化Key words
transformer/fault diagnosis/fuzzy algorithm/genetic algorithm/cluster optimization分类
信息技术与安全科学引用本文复制引用
周健,黄昕,邹剑,黎廷广..变压器油中溶解气体故障诊断的改进模糊算法[J].广东电力,2015,(3):86-91,6.
