| 基于数据融合的开关磁阻发电机故障诊断研究 |
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| 引用本文： | 张雪,姜悦悦.基于数据融合的开关磁阻发电机故障诊断研究[J].国外电子元器件,2014(2):121-123. |
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| 作者姓名： | 张雪 姜悦悦 |
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| 作者单位： | 河海大学能源与电气学院,江苏南京211100 |
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| 摘 要： | 研究了一种基于D-S证据理论的多证据数据融合决策的开关磁阻发电机(SRG)故障诊断方法。根据SRG电流、电压、转矩三个证据信号进行融合处理,提高了其故障诊断的精确性和可靠性。文章对D-S证据理论在开关磁阻发电机故障诊断中的应用进行了实例分析,结果表明该方法能够有效提高故障诊断精度。
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| 关 键 词： | D-S证据理论 数据融合 开关磁阻发电机 故障诊断 |
Research of fault diagnosis method for switched reluctance generator based on data fusion |
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| ZHANG Xue,JIANG Yue-yue.Research of fault diagnosis method for switched reluctance generator based on data fusion[J].International Electronic Elements,2014(2):121-123. |
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| Authors: | ZHANG Xue JIANG Yue-yue |
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| Affiliation: | (College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China) |
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| Abstract: | The paper proposes a method of fault diagnosis for switched reluctance generator（SRG） with data fusion technology based on D-S evidence theory. The multi-criterion fusion system which makes fusion with singles of electric current, voltage and torque of SRG, can improve correctness and reliability of fault diagnosis for SRG. This paper analysis the application of D-S evidence theory of data fusion technology, and put it on the fault diagnosis system for SRG, the results indicate that the method can effectively improve the accuracy of fault diagnosis. |
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| Keywords: | Dempster-Shafer evidence theory data fusion switched reluctance generator fault diagnosis |
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