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高压电器  2014 

变压器故障诊断中溶解气体的PSO-WFCM算法研究

, PP. 72-76

Keywords: PSO-WFCM,变压器,油中溶解气体,故障诊断

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Abstract:

由于模糊聚类将故障样本等同进行模糊划分,且受初始值影响,故提出将PSO-WFCM算法用于变压器油中溶解气体的故障诊断。该算法选取油中气体作为故障特征量,利用粒子群算法得到最佳初始聚类中心,用以指导模糊聚类求取最终的聚类中心。实验结果表明,其弥补了模糊聚类的不足,还提高了变压器的诊断性能。

References

[1]  钱 虹,李 超,叶建华. 基于模糊聚类法的神经网络变压器故障诊断系统[J]. 上海电力学院学报,2010,26(2):182-185. QIAN Hong,LI Chao,YE Jianhua. The fault diagnosis system of power transformer based on fuzzy clustering and artificial neural networks[J]. Journal of Shanghai University of Electric Power,2010,26(2):182-185.
[2]  程加堂,熊 伟,段志梅,等. 灰色神经网络在变压器故障诊断中的应用[J]. 高压电器,2010,46(8):56-58. CHENG Jiatang,XIONG Wei,DUAN Zhimei,et al.Application of gray neural network to fault diagnosis of transformer[J]. High Voltage Apparatus,2010,46(8):56-58.
[3]  汪晓明,何 萍,吴 花,等. CP组合神经网络在基于DGA的变压器绝缘故障诊断中的应用[J]. 高压电器,2008,44(6):543-547. WANG Xiaoming,HE Ping,WU Hua,et al. Application of CP compound modular neural network in DGA based power transformer fault diagnosis[J]. High Voltage Apparatus,2008,44(6):543-547.
[4]  宋 斌,于 萍,廖冬梅,等. 变压器故障诊断中溶解气体的模糊聚类分析[J]. 高电压技术,2001,27(3):69-71. SONG Bin,YU Ping,LIAO Dongmei,et al. Fuzzy set analysis of dissolved gas applied to fault diagnosis of power transformer[J]. High Voltage Engineering,2001,27(3):69-71.
[5]  杜文霞,句希源,吕 锋. 基于模糊聚类算法的变压器故障诊断研究[J]. 变压器,2009,46(8):65-69. DU Wenxia,JU Xiyuan,LYU Feng. Research on transformer fault diagnosis based on fuzzy clustering algorithm[J]. Transformer,2009,46(8): 65-69.
[6]  王子建. 模糊聚类分析及其在变压器油色谱数据分析中的应用[D]. 武汉:华中科技大学,2006. WANG Zijian. Fuzzy cluster analysis and its application in analyzing chromatographic data of transformer oil[D]. Wuhan:Huazhong University of Science & Technology,2006.
[7]  高新波. 模糊聚类分析及其应用[M]. 西安:西安电子科技大学出版社,2004. GAO Xinbo. Fuzzy cluster analysis and applications[M]. Xi’an:Xidian University Press,2004.
[8]  曲福恒,崔广才,李岩芳,等. 模糊聚类算法及应用[M]. 北京:国防工业出版社,2011. QU Fuheng,CUI Guangcai,LI Yanfang,et al. Fuzzy clustering algorithms and applications[M]. Beijing:National Defense University Press,2011.
[9]  朱苏航,吕干云. 基于模糊粒子群算法的变压器故障自动识别[J]. 计算机系统应用,2010,19(8):242-246. ZHU Suhang,LYU Ganyun. Fault diagnosis of power transformer based on fuzzy PSO algorithm[J]. Computer Systems & Applications,2010,19(8):242-246.
[10]  魏秀业,潘宏侠. 粒子群优化及智能故障诊断[M]. 北京:国防工业出版社,2010. WEI Xiuye,PAN Hongxia. Particle swarm optimization and intelligent fault diagnosis[M]. Beijing:National Defense University Press,2010.
[11]  李 凌,倪远平,孙婧雅. 基于改进粒子群算法的变压器故障诊断研究[J]. 化工自动化及仪表,2010,37(7):43-46. LI Ling,NI Yuanping,SUN Jingya. Research of transformer fault diagnosis based on improved particle swarm algorithm[J]. Control and Instruments in Chemical Industry,2010,37(7):43-46.
[12]  贾 嵘,李宏斌,康会西,等. 改进粒子群优化神经网络在变压器故障诊断中的应用[J]. 高压电器,2010,46(5):14-17. JIA Rong,LI Hongbin,KANG Huixi,et al. Application of neural network based on improved particle swarm optimization in the condition monitoring of transformer[J]. High Voltage Apparatus,2010,46(5):14-17.
[13]  陈 舵,崔杜武,李 雪,等. 加权模糊聚类及其在电力变压器故障诊断中的应用[J]. 西安理工大学学报,2008,24(2):182-186. CHEN Duo,CUI Duwu,LI Xue,et al. A weighted fuzzy clustering algorithm and its application to fault diagnosis of power transformer[J]. Journal of Xi’an University of Technology,2008,24(2):182-186.
[14]  王昌长,李福祺,高胜友. 电力设备的在线监测与故障诊断[M]. 北京:清华大学出版社,2006. WANG Changchang,LI Fuqi,GAO Shengyou. Electrical equipment online monitoring and fault diagnosis[M]. Beijing:Tsinghua University Press,2006.
[15]  董其国. 电力变压器故障与诊断[M]. 北京:中国电力出版社,2000. DONG Qiguo. Power transformer fault diagnostic[M]. Beijing:China Electric Power Press,2000.

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