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基于瞬时频率分析的笼型电机转子断条故障诊断
Alternative TitleDiagnosis of Squirrel-Cage Motor Broken Rotor Bars Based on Instantaneous Frequency Analysis
贾朱植; 杨理践; 祝洪宇; 张吉龙
Department装备制造技术研究室
Source Publication电机与控制应用
ISSN1673-6540
2017
Volume44Issue:8Pages:74-80
Contribution Rank4
Funding Organization中国科学院重点部署项目(KGZD-EW-302) ; 辽宁省科学技术计划项目(2015020140)
Keyword故障诊断 笼型电机 转子断条 瞬时频率
Abstract电机电流信号特征分析方法诊断笼型电机转子断条故障时,诊断效果受制于电机运行状态的影响,甚至会发生误诊断。针对这一问题,提出基于瞬时频率分析的笼型电机转子断条故障诊断方法。首先对起动电流进行FIR低通滤波,以提取包含转子断条故障特征的单分量谐波信号,然后采用相位微分方法计算该信号的瞬时频率,并根据f-s平面上的瞬时频率-滑差曲线判断故障发生与否。在3 k W电机试验平台上对所提出的方法进行验证,试验结果表明了所提方法的有效性。
Other AbstractThe motor current signature analysis (MCSA) method for diagnosing broken rotor bars faults in squirrel-cage motor had some drawbacks that the diagnostic effects were subject to running state of the motor,which could even lead to a wrong diagnosis of the fault. A novelty approach based on the instantaneous frequency analysis of the start-up transient was presented. The proposed approach consists of extracting the mono-component signals from the start-up current by FIR low-pass filtering technique and calculating the instantaneous frequency of the obtained signal,via the derivative of the phase of the analytical signal,and according to the characteristic pattern of the IF-s on the f-s plane,it was judged if the broken rotor bar defect occurs. The experiment verification was performed on a 3 kW motor test bench; the experiment results proved the effectiveness of the proposed method.
Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21121
Collection智能产线与系统研究室
Corresponding Author贾朱植
Affiliation1.沈阳工业大学信息科学与工程学院
2.辽宁科技大学应用技术学院
3.辽宁科技大学电子与信息工程学院
4.中国科学院沈阳自动化研究所
Recommended Citation
GB/T 7714
贾朱植,杨理践,祝洪宇,等. 基于瞬时频率分析的笼型电机转子断条故障诊断[J]. 电机与控制应用,2017,44(8):74-80.
APA 贾朱植,杨理践,祝洪宇,&张吉龙.(2017).基于瞬时频率分析的笼型电机转子断条故障诊断.电机与控制应用,44(8),74-80.
MLA 贾朱植,et al."基于瞬时频率分析的笼型电机转子断条故障诊断".电机与控制应用 44.8(2017):74-80.
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