电测与仪表2016，Vol.53Issue(13)：25-29,5.
纵横交叉算法与模糊聚类相结合的变压器故障诊断
Fault diagnosis method of transformer based on crisscross optimization algorithm and fuzzy clustering
摘要
Abstract
Optimized the FCM clustering by the proposed CSO ( CSO-FCM) is introduced to diagnose the fault of transformer in order to conquer the shortages of FCM clustering.The combination of dissolved gas analysis and FCM clustering is effective on improving the accuracy rate of power transformer fault diagnosis, but the result of FCM cluste-ring is unstable and easy getting stuck in a local optimum.The CSO algorithm includes horizon cross as well as verti-cal cross, whose combining can enhance the global convergent ability while the introduction of competitive mechanism drives the potential solutions approximate the global optima in an accelerating fashion without sacrificing the conver-gence speed.This novel method effectively compensates the demerits of single intelligent algorithm, which not only has the ability to dispose the unstable information of fuzzy theory, also has an advantage of global convergence of CSO. Simulation and case analysis indicate that, compared with the traditional FCM clustering, the CSO-FCM clustering can obtain high performance clustering center and effectively raise the accuracy and diagnosis speed of power transformer fault diagnosis.关键词
纵横交叉算法/模糊聚类/故障诊断Key words
crisscross optimization algorithm fuzzy clustering/fault diagnosis分类
信息技术与安全科学引用本文复制引用
孟安波,卢海明,郭壮志..纵横交叉算法与模糊聚类相结合的变压器故障诊断[J].电测与仪表,2016,53(13):25-29,5.基金项目
国家自然科学基金项目（51307025）；广东省自然科学基金（S2013040013776，S2012040007911）；广东省教育厅育苗工程项目 （）
