| 结合预测方法在避雷器带电测试中的应用 |
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| 引用本文： | 刘凯,刘方,刘岩,江礓. 结合预测方法在避雷器带电测试中的应用[J]. 电瓷避雷器, 2012, 1(1): 61-64,69. DOI: 10.3969/j.issn.1003-8337.2012.01.012 |
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| 作者姓名： | 刘凯 刘方 刘岩 江礓 |
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| 作者单位： | 1.洛阳供电公司,河南洛阳,471002;2.洛阳供电公司,河南洛阳,471002;3.洛阳供电公司,河南洛阳,471002;4.洛阳供电公司,河南洛阳,471002 |
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| 摘 要： | MOA在运行电压下通过的电流大小,可反映其绝缘性能或其电阻片的非线性性能的好坏.周期试验的数据无法对MOA的劣化趋势和使用寿命做出可靠量化预测.介绍了将等维新息灰色预测和BP神经网络通过最优加权法进行结合的一种预测方法,并将其应用于避雷器带电测试中对泄漏电流进行预测.MOA的阻性电流预测实例表明了该预测方法的有效性和实用性,为状态检修中其他试验项目的数据分析提供了一种新的思路.
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| 关 键 词： | 等维新息 灰色预测 神经网络 阻性电流 |
Application of Combinating Prediction Techniques in On-line Measurement of Metal Oxide Arrester |
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| LIU Kai,LIU Fang,LIU Yan,JIANG Jiang. Application of Combinating Prediction Techniques in On-line Measurement of Metal Oxide Arrester[J]. Insulators and Surge Arresters, 2012, 1(1): 61-64,69. DOI: 10.3969/j.issn.1003-8337.2012.01.012 |
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| Authors: | LIU Kai LIU Fang LIU Yan JIANG Jiang |
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| Affiliation: | (Luoyang Power Supply Company,Luoyang 471002,China) |
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| Abstract: | The current of MOA under the service voltage reflects the insulation performance or the nonlinear properties of its resistor.It is impossible to carry out reliable quantitative prediction the deterioration trend and service life thought periodic test.A new predicted method is introduced that combines gray prediction using equal dimensional innovation with BP Neural Network through the optimal weighting algorithm and this method used to predict on-line test and leakage current of MOA.Through the experiments in predicting the current of MOA,it is proved that the method is of availability and practicality in the measurement,and a new thinking for the other experiment items in condition-based maintenance is provided.. |
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| Keywords: | equal dimensional innovation gray prediction neural network resistive current |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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