| 基于小波分析的发电机匝间短路故障的智能诊断研究 |
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| 引用本文： | 郑崇伟,韦巍.基于小波分析的发电机匝间短路故障的智能诊断研究[J].浙江大学学报(自然科学版 ),1998,32(4):431-346. |
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| 作者姓名： | 郑崇伟 韦巍 |
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| 作者单位： | [1]温州师范学院 [2]浙江大学电机系 |
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| 基金项目： | 浙江大学曹光彪高科技基金 |
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| 摘 要： | 本文提出了基于小波变换和模糊理论的智能诊断新策略。通过故障信号小波变换的模量极大值特征的提取，可实现发电机定子绕组匝间短路故障的诊断。仿真实验表明，本方法适用于动态非平稳故障信号的特征提取，适合于实时故障检测。同时，结合模糊诊断技术提高了故障诊断率。
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| 关 键 词： | 小波变换 模糊理论 故障诊断 发电机 短路故障 |
An intelligent fault diagnosis of shorted-circuit between the winding based on wavelet network |
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| Zheng Chongwei.An intelligent fault diagnosis of shorted-circuit between the winding based on wavelet network[J].Journal of Zhejiang University(Engineering Science),1998,32(4):431-346. |
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| Authors: | Zheng Chongwei |
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| Abstract: | An intelligent fault diagnosis strategy is presented based on Wavelet transform and Fuzzy theory,and the fault symptoms in the shorten circuit fault diagnosis within the stator winding generator, The experi ment reseorches showthat of the signals are extracted using Wavelet modules maximum.It is successfully applied this approach has advantages on the dynamic nonstationary fault signal, and suitable for the real-time fault monitor.The reliability is greatly improved using the fuzzy diagnosis technique. |
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| Keywords: | wavelet transform fuzzy theory fault diagnosis |
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