Abstract:For partial discharge detection method(no matter online or off-line), it can only be used to determine the discharge capacity of a phase stator winding insulation, which can be used to detect the discharge position and discharge intensity. According to the situation of the field, reduce the noise, electromagnetic interference and other interference sources to the motor stator winding test, summed up the high voltage motor stator winding sound power of the test of the normal situation, internal discharge, etc.. A large number of field tests were carried out to establish the discharge points of different types and different discharge levels, and to carry out the accuracy of the spectrum information and verify the location. The combined detection of the sound and the pulse current is used in combination with the pulse current detection, and the different discharge points of the stator winding of high voltage motor are judged by comparing the signal spectrum and the pulse current detection. The insulation condition and performance of the main motor windings of the main motor of the Jiangdu Railway Station are provided by the positioning test of the weak point of the stator winding insulation of high voltage motor.
龚维明, 龚静雅, 张宇. 高压电动机定子绕组绝缘薄弱点的有效定位[J]. 排灌机械工程学报, 2015, 33(12): 1091-1096.
GONG Weiming, GONG Jingya , ZHANG Yu. High voltage motor stator winding insulation vulnerabilities of effective positioning. Journal of Drainage and Irrigation Machinery Engin, 2015, 33(12): 1091-1096.
[1]王强, 王开谟.同步电机绝缘老化修复技术研究[J].中国农村水利水电, 2006(1): 107-108. WANG Qiang,WANG Kaimo.Study on the technology of insulation aging for synchronous motor[J].China rural water and hydropower,2006(1):107-108.(in Chinese)[2]AIHARA K, ADACHI M. Associative dynamics in a chaotic neural network [J]. Neural netw,1997,10(1):83-98.[3]CAO Zhitong, CHEN Hongping, EWEN Ritchie. Rotor fault diagnosis of induction motors based on a dynamic associative memory of chaotic neural network [C]//Proceedings of International Conference on Electrical Machines. Finland: Helsinki, 2000:863-867.[4]王绍禹, 周得贵. 大型发电动机绝缘的运行特性与试验[M]. 北京: 水利电力出版社, 1992: 23-68.[5]储训, 陈履. 大型泵站建设和更新改造对策[M]. 南京: 河海大学出版社, 2000: 21.[6]KIM S D. Electrical and microstructure properties of large turbie generator stator insulations[C]. IEEE International Conference on Solid Dielectrics, 2004,1(1): 478-481.[7]郝艳捧,王国利,闫波,等.大电动机定子线棒绝缘状态诊断的研究进展[J]. 高电压技术, 2001,27(1): 4-6. HAO Yanpeng,WANG Guoli,YAN Bo,et al.The review of diagnosis of stator insulation in large electrical machine[J].High voltage engineering,2001,27(1):4-6.(in Chinese)[8]张毅刚,郁惟镛,黄成军,等.发电机局部放电在线监测研究的现状与展望[J]. 高电压技术, 2002,28(12): 32-35. ZHANG Yigang, YU Weiyong,HUANG Chengjun,et al.Research status of on-line partial discharge monitoring system for generators[J].High voltage engineering,2002,28(12):32-35.(in Chinese)[9]舒乃秋,胡芳,周粲.超声传感技术在电气设备故障诊断中的应用[J]. 传感器技术,2003,22(5): 1-4. SHU Naiqiu, HU Fang, ZHOU Can.Application of ultrasonic transducer technology in fault diagnosis of electric equipment[J]. Journal of transducer technology, 2003,22(5):1-4.(in Chinese)