| 引用本文: | 张艳,马宏忠,陈涛涛,付明星,魏海增.基于振动信号的双馈异步发电机滑环装置故障诊断方法研究[J].电力系统保护与控制,2018,46(4):57-62.[点击复制] |
| ZHANG Yan,MA Hongzhong,CHEN Taotao,FU Mingxing,WEI Haizeng.Research on fault diagnosis method for slip ring device of doubly-fed induction generators based on vibration signal[J].Power System Protection and Control,2018,46(4):57-62[点击复制] |
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| 摘要: |
| 电枢滑环系统是双馈异步发电机励磁系统的重要组成部分，但运行中时常出现因滑环面损伤而导致的电刷滑环接触不良现象，严重影响电机励磁稳定性。针对这一问题，提出了基于振动信号的滑环面损伤故障诊断新方法。简要分析了电刷滑环系统振动法原理、振动传播途径及故障机理。搭建电刷滑环仿真运行实验平台，实时采集系统故障运行前后的振动信号。应用小波能量谱法进行滑环接触面故障诊断。通过对比分析故障前后振动信号的小波能量谱分布及占比情况，找出发生振动异常的频带，为电枢滑环接触面的故障诊断提供依据。 |
| 关键词: 滑环 电刷 振动 小波能量谱 故障诊断 |
| DOI：10.7667/PSPC170189 |
| 投稿时间：2017-02-14修订日期：2017-07-05 |
| 基金项目:国家自然科学基金项目(51577050) |
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| Research on fault diagnosis method for slip ring device of doubly-fed induction generators based on vibration signal |
| ZHANG Yan,MA Hongzhong,CHEN Taotao,FU Mingxing,WEI Haizeng |
| (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China;Maintenance Branch of State Grid Jiangsu Electric Power Company, Suqian 223815, China) |
| Abstract: |
| The brush and slip ring system is an important part of doubly-fed induction generator excitation system, but the poor contact of brush and ring caused by slip ring surface damage in operation influences the excitation stability. For the problem, this paper proposes a new method of slip ring surface damage fault diagnosis based on the vibration signal. Firstly, the vibration method principle, route of transmission and failure mechanism of the slip ring are analyzed. And then the experiment platform of the brush and slip ring simulation is set up for real-time vibration signals before and after fault operation, and the wavelet energy spectrum method is applied to fault diagnosis of slip ring interface. The abnormal vibration is found out by comparing and analyzing the wavelet energy spectrum distribution and the proportion of vibration signal before and after the fault, which provides the basis for the fault diagnosis of the slip ring contact surface. This work is supported by National Natural Science Foundation of China (No.51577050). |
| Key words: slip ring brush vibration wavelet energy spectrum fault diagnosis |
