振动频谱特征值在诊断变压器故障中的应用研究  

Research on spectrum eigenvalues of transformer vibration and its application on diagnosis

作　　者：钱国超 于虹 邹德旭 颜冰 刘红文 徐肖伟 Qian Guochao Yu Hong Zou Dexu Yan Bing Liu Hongwen Xu Xiaowei(Electric Power Research Institute, Yunnan Power Grid Co., Ltd., Kunming 650051, China)

机构地区：[1]云南电网有限责任公司电力科学研究院,昆明650051

出　　处：《电测与仪表》2017年第19期117-122,共6页Electrical Measurement & Instrumentation

摘　　要：正常运行中的电力变压器的振动主要来自于变压器铁心和绕组的振动,振动信号中包含了丰富的能够表征变压器状态的信息。文章在1台10/0.4 k V三相双绕组电力变压器中设铁心松动、绕组松动、绕组幅向错位故障,利用基频、幅值、主频率、频率比重以及频谱复杂度等振动特征量,研究了变压器绕组在上述故障条件下油箱表面的振动变化规律。研究结果表明,三种故障条件下的频谱复杂度均会降低,绕组松动和铁心松动中的振动基频会升高,绕组错位中的基频振动会降低。文中的结论对基于振动信号分析法的电力变压器诊断具有借鉴意义。The vibration of power transformer on oil tank mainly comes from the vibration of core and winding, which contains rich information to demonstrate transformer mechanical condition. This paper using vibration characteristics like the vibration eigenvalues in spectrum, the proportion of frequency, the maximum amplitude of vibration spectrum and the complexity of vibration spectrum to research transformer tank vibration under certain faults. In the lab, faults like core looseness, winding looseness and displacement in radial direction of winding were set in a 10/0.4 kV three- phase power transformer. The simulation result shows that the complexity of vibration spectrum decreases at all above three faults, amplitude of fundamental frequency increases at core and winding looseness and decreases at displace- ment in radial direction of winding fault. The conclusion of this paper may make contributions to the condition monito- ring technology of transformer which is based on vibration signals analysis method.

关 键 词：电力变压器 振动特征值 铁心松动 绕组松动 幅向错位 

分 类 号：TM933[电气工程—电力电子与电力传动]