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高压电器  2015 

基于DGA和改进型灰关联度模型的牵引变压器故障诊断

, PP. 41-45

Keywords: 牵引变压器,故障诊断,油中溶解气体分析,改进型灰关联度,熵值法

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Abstract:

油中溶解气体分析(DGA)是诊断普通电力变压器故障的重要方法,但牵引变压器有着自身的特点,若仿效普通电力变压器的故障诊断方法,在诊断牵引变压器故障时精度较低。文中针对牵引变压器发生故障时的气体特征,提出了一种基于改进的灰关联度分析模型用于牵引变压器故障诊断的方法。该方法充分利用了牵引变压器油中气体数据的全部信息,且发挥了灰关联度适用于小样本、贫信息系统的优势,避免了局部关联和信息损失的缺陷。实例分析结果表明,该方法可以很好地判断牵引变压器故障类型,提高诊断精度。

References

[1]  孙才新,陈伟根,李 俭. 电气设备油中气体在线监测与故障诊断技术[M]. 北京:科学出版社,2003. SUN Caixin,CHEN Weigen,LI Jian.Electric equipment dissolved gas on-line monitoring and fault analysis technique[M]. Beijing:Science Press,2003.
[2]  贾 嵘,徐其惠,李 辉,等. 基于邻域粒子群优化神经网络的变压器故障诊断[J]. 高压电器,2008,44(1):8-10. JIA Rong,XU Jihui,LI Hui,et al. Power transformer fault diagnosis via neural network based on particle swarm optimization with neighborhood operator[J]. High Voltage Apparatus,2008,44(1):8-10.
[3]  方 健,彭 辉,李自品,等. 改进小波网络在油浸式变压器故障诊断中的应用[J]. 高压电器,2011,47(11):115-120. FANG Jian,PENG Hui,LI Zipin,et al. An improved wavelet network with application to the fault diagnosis of oil-immersed transformer[J]. High Voltage Apparatus,2011,47(11):115-120.
[4]  周爱华,张彼德,方春恩,等. 基于模糊免疫识别方法的电力变压器故障诊断[J]. 电网技术,2009(3):99-102. ZHOU Aihua,ZHANG Bide,FANG Chun’en,et al. Power transformer fault diagnosis based on fuzzy immune recognition approach[J]. Power System Technology,2009(3):99-102.
[5]  曾利平,姚洪涛,谢秀芬. 基于遗传优化规则库的电力变压器故障诊断[J]. 中南大学学报(自然科学版),2013,44(3):1018-1023. ZENG Liping,YAO Hongtao,XIE Xiufen. Fault diagnosis of power transformers based on rule base optimized by genetic algorithm[J]. Journal of Central South University(Science and Technology),2013,44(3):1018-1023.
[6]  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.
[7]  DURAISAMY V,DEVARAJAN N,SOMASUNDARESWARI D,et al. Neuro fuzzy schemes for fault detection in power transformer[J]. Applied Soft Computing,2007,7(2):534-539.
[8]  熊 浩,孙才新,陈伟根,等. 电力变压器故障诊断的人工免疫网络分类算法[J]. 电力系统自动化,2006,30(6):57-60. XIONG Hao,SUN Caixin,CHEN Weigen,et al. Artificial immune network classification algorithm for fault diagnosis of power transformers[J]. Automation of Electric Power Systems,2006,30(6):57-60.
[9]  杨 莉,尚 勇,周跃峰,等. 基于概率推理和模糊数学的变压器综合故障诊断模型[J]. 中国电机工程学报,2000,20(7):20-24. YANG Li,SHANG Yong,ZHOU Yuefeng,et al. Probability reasoning and fuzzy technique applied for identifying power transformer malfunction[J]. Proceedings of the CSEE,2000,20(7):20-24.
[10]  胡汉梅,鲍亮亮,赵海军. 神经网络在变压器故障诊断中典型算法研究[J]. 高压电器,2008,44(3):217-220. HU Hanmei,BAO Liangliang,ZHAO Haijun. Research on typical artificial neural networks in power transformer fault diagnosis[J]. High Voltage Apparatus,2008,44(3):217-220.
[11]  袁 蕾,杜 林,吴俊美,等. 基于模糊隶属函数的变压器多参量故障综合诊断方法[J]. 高压电器,2011,47(5):35-42. YUAN Lei,DU Lin,WU Junmei,et al. Transformer multi-parameter integrated fault diagnosis method based on fuzzy membership function[J]. High Voltage Apparatus,2011,47(5):35-42.
[12]  熊 浩,李卫国,畅广辉,等. 模糊粗糙集理论在变压器故障诊断中的应用[J]. 中国电机工程学报,2008,28(7):141-147. XIONG Hao,LI Weiguo,CHANG Guanghui,et al.Application of fuzzy rough set theory to power transformer faults diagnosis[J]. Proceedings of the Chinese Society for Electrical Engineering,2008,28(7):141-147.
[13]  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.
[14]  张伟政,汪晓明,吴晓辉,等. 组合神经网络在变压器故障诊断中的应用[J]. 高压电器,2007,43(5):364-367. ZHANG Weizheng,WANG Xiaoming,WU Xiaohui,et al.Application of compound networks in fault diagnosis of power transformer[J]. High Voltage Apparatus,2007,43(5):364-367.
[15]  程加堂,熊 伟,徐绍坤,等. 基于改进粒子群优化神经网络的电力变压器故障诊断[J]. 高压电器,2012,48(2):42-45. CHENG Jiatang,XIONG Wei,XU Shaokun,et al.Power transformer fault diagnosis based on neural networks with improved particle swarm optimization[J]. High Voltage Apparatus,2012,48(2):42-45.
[16]  邓宏贵,曹 建,罗 安. 一种新的遗传算法及其在变压器故障诊断中的应用[J]. 中南大学学报(自然科学版),2005,36(3):481-485. DENG Honggui,CAO Jian,LUO An. A novel genetic algorithm and its application to transformer fault diagnosis[J]. Journal of Central South University(Science and Technology),2005,36(3):481-485.
[17]  周利军. 基于DGA技术的牵引变压器在线监测系统研究[D]. 成都:西南交通大学,2004.
[18]  刘思峰,郭天榜,党耀国. 灰色系统理论及其应用[M]. 第5版. 北京:科学出版社,2010. LIU Sifeng,GUO Tianbang,DANG Yaoguo. Grey system theory?its application[M]. 5th edition. Beijing:Science Press,2010.
[19]  刘新梅,徐润芳,张若勇. 邓氏灰色关联分析的应用模型[J]. 统计与决策,2008,20(10):23-25. LIU Xinmei,XU Runfang,ZHANG Ruoyong. The application model of Tangs gray correlation analysis[J]. Statistics and Decision,2008,20(10):23-25.
[20]  赵艳林,韦树英,梅占馨. 灰色关联分析的一种新的理论模型[J]. 系统工程与电子技术,1998(10):37-40. ZHAO Yanlin,WEI Shuying,MEI Zhanxin. A new theoretical model for analysis of grey relation[J]. Systems Engineering and Electronics,1998(10):37-40.

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