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| 利用相关性基波消去法诊断电机转子断条故障 | |
| 引用本文： | 安国庆,刘教民,郭立炜,刘玉坤.利用相关性基波消去法诊断电机转子断条故障[J].电机与控制学报,2011,15(3):69-73. |
| 作者姓名： | 安国庆 刘教民 郭立炜 刘玉坤 |
| 作者单位： | 1. 河北工业大学,电气工程学院,天津,300130;河北科技大学,电气信息学院,河北,石家庄,050054 2. 河北工业大学,电气工程学院,天津,300130;河北科技大学,信息科学与工程学院,河北,石家庄,050054 3. 河北科技大学,信息科学与工程学院,河北,石家庄,050054 |
| 摘 要： | 针对感应电机转子故障时,定子电流中新增的故障特征分量被基波信息淹没而难以识别的问题,提出基于相关性基波消去法来检测转子断条故障。根据定子电压与电流基波频率相等的特点,构造出与定子电压同频的参考信号,利用改进的相关算法提取定子电流基波信号的幅值与相位,将基波分量准确滤除来突出转子断条故障信息,然后对滤波后的故障信号作频谱分析,可容易诊断出转子断条故障。该方法无需复杂的坐标变换,计算量小,实时性大大提高。实验结果表明:该方法具备较强的故障辨识能力,即使在轻载的情况下仍能有效对转子故障作出诊断。另外,系统只需采样单相电流信号和电压频率信号,工程开销小,易于实现。 |
| 关 键 词： | 感应电机 相关性基波消去法 转子断条 故障诊断 频谱分析 |
Diagnosing rotor broken bar fault in motor by using correlation fundamental component filtering method |
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| AN Guo-qing,LIU Jiao-min,GUO Li-wei,LIU Yu-kun.Diagnosing rotor broken bar fault in motor by using correlation fundamental component filtering method[J].Electric Machines and Control,2011,15(3):69-73. | |
| Authors: | AN Guo-qing LIU Jiao-min GUO Li-wei LIU Yu-kun |
| Affiliation: | AN Guo-qing1,2,LIU Jiao-min1,3,GUO Li-wei3,LIU Yu-kun3(1.School of Electrical Engineering,Hebei University of Technology,Tianjin 300130,China,2.School of Electrical Engineering,Hebei University of Science and Technology,Shijiazhuang 050054,3.School of Information Science and Engineering,China) |
| Abstract: | When induction motor has the broken bar fault,the new added fault characteristic component is difficult to be discriminated in the spectrum analysis of the current because of being blanketed by fundamental component.To solve this problem,the correlation fundamental component filtering method is proposed to diagnose the fault.According to the voltage and the fundamental component of current having the same frequency,reference signals whose frequency is equal to the one of stator voltage were constructed.By t... |
| Keywords: | induction motors correlation fundamental component filtering method rotor broken bar fault fault diagnosis spectrum analysis |
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