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应用人工神经网络理论进行低零值绝缘子的诊断
THE APPLICATION OF ARTIFICAL NEURAL NETWORK TO LOW AND ZERO RESISTANCE INSULATOR DIAGONISIS
【摘要】 本文探讨了应用人工神经网络进行高压输电线路中低零值绝缘子检测的可行性。该方法以电晕电流做为特征量,首先利用Hamming网络对采集到的波形进行噪声过滤,然后,使用ART网络对过滤后的波形进行辨识,试算表明,本文提出的方法可对各种情况的波形进行正确的辨识,该研究可为低零值绝缘子的在线监测打下理论基础。
【Abstract】 The possibility of applying the artificial neural network theory to low andzero resistance insulator diagnosis is investigated.The corona pulse current isused as the characteristic values and the Hamming network is employed tofilter out the noise of the collected wave form, then the ART network is usedto recognize the filtered wave form. Case study shows the method proposedhere can put the wave forms collected into cluster correctly.
【关键词】 低零值绝缘子;
模式辨识;
人工神经网络;
Hamming网络;
ART网络;
【Key words】 low and zero resistance insulator; pattern recognition; artifical neural network. Hamming network; ART network;
【Key words】 low and zero resistance insulator; pattern recognition; artifical neural network. Hamming network; ART network;
- 【文献出处】 电工电能新技术 ,ADVANCED TECHNOLOGY OF ELECTRICAL ENGINEERING AND ENERGY , 编辑部邮箱 ,1994年01期
- 【分类号】TM216
- 【下载频次】101