基于人工神经网络和电寿命判据的真空断路器仿真
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Vacuum Circuit Breaker''''s Condition Simulation Based on Artificial Neural Network and Electrical Endurance Quality Criterion
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    摘要:

    如何在真空断路器(VCB)电寿命的若干判据中选出对最终状态检修影响较大的因素以及如何确定这些因素和最终状态检修之间的关系是一个棘手问题,文中将真空断路器电寿命的若干判据标准和人工神经网络贡献变量法相结合,为真空断路器的状态检修提供了一条新思路.建立了状态检修仿真模型,并用Matlab编程证明仿真结果可以看出经过变量选择后确定的因素的合理性.

    Abstract:

    How to select the factors that have more great affection on the condition based maintenance and how to make sure the relation among them are two key problems. A new method's proposed for vacuum circuit breaker's condition based maintenance, which combines electrical endurance quality criterions and condition recognition arithmetic based on artificial neural network. The paper proposes a model based on electrical-endurance quality criterions by applying ANN in vacuum circuit breaker's condition based maintenance. The simulation indicates that the criterion selected in this way are reasonable and the network with new learning error function has a much better generalization ability.

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姚爱明,廖瑞金,李剑.基于人工神经网络和电寿命判据的真空断路器仿真[J].重庆大学学报,2005,28(6):34-37.

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  • 最后修改日期:2005-02-21
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