|本期目录/Table of Contents|

[1]张雄希,刘振兴.共振解调与小波降噪在电机故障诊断中的应用[J].电机与控制学报,2010,(06):66-70.
 HANG Xiong-xi,LIU Zhen-xing.Application of resonance demodulation and wavelet denosing in fault diagnosis of induction motors[J].,2010,(06):66-70.
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
期数:
2010年06
页码:
66-70
栏目:
出版日期:
2010-08-01

文章信息/Info

Title:
Application of resonance demodulation and wavelet denosing in fault diagnosis of induction motors
作者:
张雄希; 刘振兴;
武汉科技大学信息科学与工程学院; 冶金自动化与检测技术教育部工程研究中心;
Author(s):
HANG Xiong-xi12; LIU Zhen-xing12
1.Department of Information Science and Technology; Wuhan University of Science and Technology; Wuhan 430081; China; 2.Engineering Research Center of Metallurgical Automation and Measurement Technology; Ministry of Education; China
关键词:
异步电动机 故障诊断 共振解调 小波 复合故障
Keywords:
induction motors fault diagnosis resonance demodulation wavelet composite fault
分类号:
TM343
DOI:
-
文献标志码:
A
摘要:
针对异步电机形成复合故障时电流频谱存在的故障频率成分难以准确分离的问题,结合小波降噪算法与共振解调技术,提出一种异步电机复合故障分离方法。依托小波优良的时频局部化特性,有效地区分信号中的突变部分和噪声,实现信号的降噪;利用软件方法实现共振解调,构造带通滤波器提取共振信息。利用Hilbert变换进行解调分析得到包含故障特征信息的低频包络信号,经过低通滤波、频谱分析后实现异步电机耦合故障分离和故障特征提取。实验结果表明,该方法使复合故障情况下的异步电机电流信号的故障特征频率更容易识别和分离。
Abstract:
For the induction motor with composite faults,the fault frequencies component in stator current spectrum is difficult to be separated accurately.Based on the combination of wavelet denosing algorithm and the technique of resonance demodulation,a method of separating composite faults of induction motors is proposed.Depending on good time-frequency localization characteristics of wavelet,it can effectively distinguish mutations of the signals from the noise to achieve signal noise reduction.When implementing .

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金(60874109)
更新日期/Last Update: 2010-08-21