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Vacuum Circuit Breaker's Condition Simulation Based on Artificial Neural Network and Electrical Endurance Quality Criterion
作者姓名:YAO Ai-ming  LIAO Rui-jin  LI Jian
摘    要: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.

关 键 词:neural  networks  electrical  endurance  quality  criterion  condition  based  maintenance
修稿时间:2005/2/21 0:00:00

Vacuum Circuit Breaker's Condition Simulation Based on Artificial Neural Network and Electrical Endurance Quality Criterion
YAO Ai-ming,LIAO Rui-jin,LI Jian.Vacuum Circuit Breaker''s Condition Simulation Based on Artificial Neural Network and Electrical Endurance Quality Criterion[J].Storage & Process,2005(6):34-37.
Authors:YAO Ai-ming  LIAO Rui-jin  LI Jian
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.
Keywords:neural networks  electrical endurance quality criterion  condition based maintenance
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