| 高压输电导线的损伤检测与故障诊断 |
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| 引用本文： | 吴功平,肖晓晖,申瑞刚.高压输电导线的损伤检测与故障诊断[J].仪器仪表学报,2006,27(10):1204-1208. |
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| 作者姓名： | 吴功平 肖晓晖 申瑞刚 |
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| 作者单位： | 武汉大学动力与机械学院,武汉,430072 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 本文利用红外和电磁传感器分别检测铝绞线和钢芯（钢绞线）的断股故障信号,应用db4小波基对故障信号进行了小波分析,由故障信号的时频域和小波分解细节特征,构造了神经网络诊断模型的输入特征矢量.利用3层BP网络实现了导线断股故障的精确诊断,所研制的红外电磁检测仪器可由巡线机器人携载和操作.
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| 关 键 词： | 输电导线 红外电磁检测 小波分析 神经网络 故障诊断 |
| 修稿时间： | 2005年8月1日 |
Damaged detection and fault diagnosis for high-voltage transmission line |
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| Wu Gongping,Xiao Xiaohui,Shen Ruigang.Damaged detection and fault diagnosis for high-voltage transmission line[J].Chinese Journal of Scientific Instrument,2006,27(10):1204-1208. |
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| Authors: | Wu Gongping Xiao Xiaohui Shen Ruigang |
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| Abstract: | The faults of broken steel wire and broken aluminum thread are detected respectively by means of electromagnetic and infrared sensors and the failure signal is analyzed with db4 wavelet.The characteristic vectors used as the input of neural network are constructed from the time-frequency and wavelet decomposition features of the failure signal.The faults of broken steel wire and broken aluminum thread are diagnosed precisely with 3-layer BP neural network.The designed instrument can be carried and operated by the inspection robot for high-voltage transmission line. |
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| Keywords: | transmission line infrared and electromagnetic detection wavelet analysis neural network fault diagnosis |
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