| 大型异步电机转子状态监测与故障诊断 |
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| 引用本文： | 徐国忠,顾永芳. 大型异步电机转子状态监测与故障诊断[J]. 电机技术, 2011, 0(5): 40-43. DOI: 10.3969/j.issn1006-2807.2011.05.011 |
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| 作者姓名： | 徐国忠 顾永芳 |
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| 作者单位： | 华电新疆发电有限公司苇湖梁电厂,223005 |
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| 摘 要： | 研究了电机转子断条故障诊断的基本原理,提出了基于DSP和ARM的新颖双处理器的电机状态监测与故障诊断系统.采用电机电流频谱分析(MCSA)的方法提取电机转子故障特征分量,仿真和实验结果表明,本系统能够及时准确检测出电机转子断条故障,验证了系统硬件设计和故障诊断算法的有效性.
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| 关 键 词： | 电机故障诊断 断条 电机电流频谱分析非侵入式 人机接口 |
Rotor Condition Monitoring and Fault Diagnosis for Large-size Asynchronous Machine |
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| Xu Guozhong,Gu Yongfang. Rotor Condition Monitoring and Fault Diagnosis for Large-size Asynchronous Machine[J]. Electrical Machinery Technology, 2011, 0(5): 40-43. DOI: 10.3969/j.issn1006-2807.2011.05.011 |
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| Authors: | Xu Guozhong Gu Yongfang |
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| Affiliation: | Xu Guozhong Gu Yongfang Xinjiang Huadian Weihuliang Power Co.,Ltd |
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| Abstract: | The fault-diagnosis principle of broken rotor winding was studied and an advanced diagnose system based upon DSP and ARM double processor to monitor the motor operating status was developed.The featured portion of the rotor default was withdraw by means of the motor current spectrum analysis(MCSA) .The result of simulation and experiment stated that this system was able to detect the fault of broken rotor correctly and timely to verify the availability of the hardware design and effectiveness of this diagno... |
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| Keywords: | Fault Diagnosis of Motor Broken bar MCSA Non-invasive User interface |
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