基于变频器供电侧电流Hilbert 解调制方法的空载电机转子断条故障诊断
Fault diagnosis of broken rotor bars of inverter-fed squirrel-cage induction motor at no-load using supply-side current based on Hilbert demodulation technique
查看参考文献20篇
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文摘
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变频器供电侧电流比电机定子电流易于获取且较少受到噪声干扰。然而,由于基频频谱泄露的影响,基于变频器供电侧电流的电机电流信号特征分析方法无法诊断低负载或空载运行条件下的鼠笼电机转子断条故障。首先基于转移函数和调制理论建立了变频器供电侧电流谐波分析简化模型。在此基础上,提出了基于Hilbert 解调制的空载电机转子断条故障诊断方法。该方法的核心是采用Hilbert 变换提取电机稳态运行时的变频器供电侧电流信号包络线、构造基于包络线平方的解析信号并对该信号作FFT 频谱分析。在3 kW 电机实验台上对所提出的方法进行实验验证,实验结果表明了该方法的有效性。 |
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其他语种文摘
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In comparison with stator current,supply-side current of invert-fed squirrel-cage induction motor is convenient to acquire and immune to noise. However,when a motor operates under light load or no-load conditions,the motor current signature analysis (MCSA) method based on supply-side current can not diagnose the broken rotor bar faults of inverter-fed squirrel-cage induction motor due to the spectrum leakage submerging other spectral response in its vicinity. In this paper,a simplified model of supply-side current harmonic signal for squirrel-cage induction motor is firstly established using the transfer function concept and frequency modulation theory. A diagnosis method of broken rotor bar faults of inverter-fed squirrel-cage induction motor at no-load based on Hilbert demodulation technique is proposed. The core of the method is to extract the envelope of the supply-side current signal under the motor steady operation condition using Hilbert transform,construct the analytic signal based on the square of the envelope and perform the FFT spectrum analysis of the signal. The experiment verification was performed on a 3 kW motor experiment test bench; the experiment results prove the effectiveness of the proposed method. |
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来源
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仪器仪表学报
,2014,35(1):140-147 【核心库】
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关键词
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鼠笼电机
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希尔伯特变换
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解调制
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故障诊断
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地址
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中国科学院沈阳自动化研究所, 中国科学院网络化控制系统重点实验室, 沈阳, 110016
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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0254-3087 |
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学科
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机械、仪表工业;电工技术 |
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基金
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中国科学院重点部署项目
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文献收藏号
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CSCD:5049521
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参考文献 共
20
共1页
|
|
1.
Wolbankt M. Monitoring of rotor-bar defects in inverter-fed induction machines at zero load and speed.
IEEE Transactions on Industrial Electronics,2011,58(5):1468-1478
|
被引
1
次
|
|
|
|
|
2.
Georgakopoulos I P. Detection of induction motor faults in inverter drives using inverter input current analysis.
IEEE Transactions on Industrial Electronics,2011,58(9):4365-4373
|
被引
4
次
|
|
|
|
|
3.
胡为. 基于最优阶次HMM的电机故障诊断方法研究.
仪器仪表学报,2013,34(3):524-530
|
被引
7
次
|
|
|
|
|
4.
Mehrjou M R. Rotor fault condition monitoring techniques for squirrel-cage induction machine-A review.
Mechanical Systems and Signal Processing,2011,25(8):2827-2848
|
被引
15
次
|
|
|
|
|
5.
Bellini A. Advances in diagnostic techniques for induction machines.
IEEE Transactions on Industrial Electronics,2008,55(12):4109-4126
|
被引
13
次
|
|
|
|
|
6.
Kim Y H. High-resolution parameter estimation method to identify broken rotor bar faults in induction motors.
IEEE Transactions on Industrial Electronics,2013,60(9):4103-4117
|
被引
5
次
|
|
|
|
|
7.
彭宇. 故障预测与健康管理技术综述.
电子测量与仪器学报,2010,24(1):1-9
|
被引
76
次
|
|
|
|
|
8.
阳同光. 混合蛙跳脊波神经网络观测器电机故障诊断研究.
仪器仪表学报,2013,34(1):193-199
|
被引
8
次
|
|
|
|
|
9.
谢国民. 采煤机电动机故障诊断专家系统的研究与应用.
信息与控制,2013,42(3):358-363
|
被引
6
次
|
|
|
|
|
10.
Puche-Panadero R. Improved resolution of the MCSA method via Hilbert transform,enabling the diagnosis of rotor asymmetries at very low slip.
IEEE Transactions on Energy Conversion,2009,24(1):52-59
|
被引
8
次
|
|
|
|
|
11.
马伦. 基于Morlet小波变换的滚动轴承早期故障特征提取研究.
仪器仪表学报,2013,34(4):920-926
|
被引
40
次
|
|
|
|
|
12.
刘立君. 基于EMD和频谱校正的故障诊断方法.
仪器仪表学报,2011,32(6):1278-1283
|
被引
21
次
|
|
|
|
|
13.
李晓晖. 基于一维盲源分离的滚动轴承故障诊断.
电子测量与仪器学报,2013,27(6):535-542
|
被引
10
次
|
|
|
|
|
14.
姜万录. 小波脊线解调与两次EMD分解相结合的故障识别方法及应用研究.
仪器仪表学报,2013,34(5):1131-1138
|
被引
7
次
|
|
|
|
|
15.
胡为. 改进的符号时间序列分析方法及其在电机故障诊断中的应用.
仪器仪表学报,2009,30(4):760-766
|
被引
12
次
|
|
|
|
|
16.
Bacha K S. An improved combination of Hilbert and Park transforms for fault detection and identification in three-phase induction motors.
International Journal of Electrical Power & Energy Systems,2012,43(1):1006-1016
|
被引
4
次
|
|
|
|
|
17.
Bin G F. Early fault diagnosis of rotating machinery based on wavelet packets-Empirical mode decomposition feature extraction and neural network.
Mechanical Systems and Signal Processing,2012,27(6):696-711
|
被引
34
次
|
|
|
|
|
18.
Riera-Guasp M. A general approach for the transient detection of slip-dependent fault components based on the discrete wavelet transform.
IEEE Transactions on Industrial Electronics,2008,55(12):4167-4180
|
被引
9
次
|
|
|
|
|
19.
刘宏. 转移函数应用于变流器的谐波分析.
电工技术学报,2005,20(9):108-113
|
被引
5
次
|
|
|
|
|
20.
Chang G W. An analytical approach for characterizing harmonic and interharmonic currents generated by VSI-fed adjustable speed drives.
IEEE Transactions on Power Delivery,2005,20(4):2585-2593
|
被引
14
次
|
|
|
|
|
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