|本期目录/Table of Contents|

[1]刘新正,何升华,高琳,等.LMS滤波法在笼型异步电机转子断条诊断中的特征[J].电机与控制学报,2017,21(05):1-7.[doi:10.15938/j. emc. 2017.05. 001]
 LIU Xin-zlieng,HESheng-hua,GAO Lin,et al.The features of LMS adaptive filter in rotor bar broken diagnosis of squirrel cage asynchronous machines[J].,2017,21(05):1-7.[doi:10.15938/j. emc. 2017.05. 001]
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LMS滤波法在笼型异步电机转子断条诊断中的特征(PDF)
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
21
期数:
2017年05
页码:
1-7
栏目:
出版日期:
2018-04-20

文章信息/Info

Title:
The features of LMS adaptive filter in rotor bar broken diagnosis of squirrel cage asynchronous machines
作者:
 刘新正何升华高琳张厚成
 (1.西安交通大学电气工程学院,陕西西安710049;2.南京深科博业电气股份有限公司,江苏南京211102)
Author(s):
LIU Xin-zlieng1 HESheng-hua1 GAO Lin1 ZHANG Hou-cheng2
(1. School of Electrical Engineering,Xi’an Jiaotong University,Xi’an 710049,China; 2. Nanjing ThinkBon Electric Co.,Ltd.,Nanjing 211102,China)

关键词:
笼型异步电机转子断条频谱分析最小均方误差自适应滤波
Keywords:
 squirrel cage asychronous machine rotor bar broken spectrum analysis least mean square
分类号:
TM 343
DOI:
10.15938/j. emc. 2017.05. 001
文献标志码:
A
摘要:
在诊断笼型异步电机转子断条故障时,可以通过对定子电流的频谱分析来提取代表故障特 征的边频分量。为克服实际诊断中直接做快速傅里叶变换(fast fourier transformation,FFT)频谱分 析存在的边频分量被主频量掩盖的缺陷,采用最小均方误差(leest mean square,LMS)自适应滤波 法滤除主频量再做FFT频谱分析,以突出边频分量。给出了转子断条故障诊断中LMS滤波原理及 滤波器参数确定,详细分析了电机不同运行转差率下LMS滤波对边频量的采样规律和等效采样周 期。结果表明,当依主频设定的固定采样周期采样电机电流时,LMS滤波是通过对边频分量在不 同周波的不同位置采样拟合出完整周波,等效采样周期随转差率变化,且一般至少比设定的固定采 样周期小一个数量级。
Abstract:
 For the diagnosis of rotor broken bar fault in squirrel cage asynchronous machines ,spectrum analysis of stator current is often used to extract the side frequency components that represent the typical fault characteristics. To remedy the drawbacks existed in doing FFT spectrum analysis for the curent directly,which could make the side frequency components be over covered by main frequency signal,the Least Mean Square ( LMS) error adaptive filter algorithm was used prior to FFT analysis to filter main frequency signal and highlight the side frequency components. The LMS adaptive filter algorithm determination in rotor broken bar fault diagnosis were given,and the sample features and the effective sample period for side frequency component at different operation slips were analyzed in detaile. The results show that,with LMS filter algorithm,when the stator current was sampled at a fixed sample period chosen according to main frequency,the side frequency component is actually sampled at the different point of its different individual waveform,and a full waveform is comopsed accrodingly. period for side frequency component varies wit!i slip) and is smaller than the fixed one by an order of magnitude at least.

参考文献/References:

相似文献/References:

[1]祝洪宇,胡静涛,高雷,等. Morlet小波解调制方法诊断鼠笼电机转子断条故障[J].电机与控制学报,2014,18(07):31.
 ZHU Hong-yu HU Jing-tao,GAO LeiHUANG Hao. Diagnosis of broken rotor bars in squirrel cage induction motorsusing Morlet wavelet demodulation techniaues[J].,2014,18(05):31.
[2]阳同光,桂卫华. 利用改进的二阶广义积分器锁相环诊断感应电机转子断条故障[J].电机与控制学报,2015,19(06):109.[doi:10. 15938/j. emc.2015.06.017]
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[3]王新,闫文源,王丹璐.复杂输入下自适应滤波器的过渡过程处理方法[J].电机与控制学报,2017,21(03):89.[doi:10.15938/j. emc. 2017.03. 014]
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备注/Memo

备注/Memo:
收稿日期:2016 -06 -02
作者简介:刘新正(1959—),男,硕士,副教授,研究方向为电机分析及控制;
何升华(1989—),男,硕士,研究方向为电机故障诊断;
高琳(1962—),女,硕士,副教授,研究方向为永磁同步电机控制;
张厚成(1973—),男,高级工程师,研究方向为电机的监测与控制。
更新日期/Last Update: 2017-07-10