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作 者:李豪 赵孟 向大为[2] 严浩 LI Hao;ZHAO Meng;XIANG Dawei;YAN Hao(College of Electrical Power Engineering,Shanghai University of Electric Power,Yangpu District,Shanghai 200090,China;College of Electronics and Information Engineering,Tongji University,Jiading District,Shanghai 201804,China)
机构地区:[1]上海电力大学电气工程学院,上海市杨浦区200090 [2]同济大学电子与信息工程学院,上海市嘉定区201804
出 处:《中国电机工程学报》2020年第10期3359-3367,共9页Proceedings of the CSEE
基 金:国家自然科学基金项目(51907116);上海市科技人才计划项目青年科技扬帆计划(18YF1408900)。
摘 要:匝绝缘失效会导致严重的电机匝间和相地故障。在线监测早期绝缘劣化可在故障潜伏性阶段消除隐患。利用匝绝缘状态劣化会改变电机绕组的高频阻抗特性,提出将功率器件自身高速开关动作视作高频激励源,通过提取开关瞬态高频振荡电流作为暂态响应,获取开关瞬态频率响应曲线对匝绝缘状态进行在线监测。通过实验进行验证,结果表明开关瞬态频率响应曲线可以反映电机绕组的高频阻抗特性,利用300~400k Hz幅频响应特征能够对伺服电机早期匝绝缘状态劣化进行非侵入式在线监测,且该方法对运行工况不敏感。Turn-insulation failure would rapidly develop to serious motor inter-turn and/or phase-to-ground faults. On-line monitoring of insulation deterioration can eliminate the potential fault prior to motor breakdown. The turn insulation deterioration would change the high frequency impedance characteristics of motor windings. In this paper, the high-speed switching action of power device itself was regarded as high-frequency excitation source, and the corresponding transient response current was extracted to obtain the switching transient frequency response curve(STFRC) for turn insulation monitoring. Experimental results indicate that the STFRC can reflect the high frequency impedance characteristics of motor windings. The incipient turn-insulation degradation can be identified by the STFR curve from the frequency range of 300 kHz^400 kHz. The proposed method has the advantages of non-intrusive online monitoring and insensitive to operation condition.
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