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基于神经网络的发电系统可靠性评估方法
引用本文:周君,丁坚勇. 基于神经网络的发电系统可靠性评估方法[J]. 电力建设, 2002, 23(7): 53-0
作者姓名:周君  丁坚勇
作者单位:(武汉大学,武汉市,430072)
摘    要:为了改善发电系统可靠性评估的效益,提出基于神经网络学习算法和发电系统可靠性评估算法。该方法不需要建立新的数学模型,对外部参数的变化具有良好的适应性。计算结果表明:此算法能够快速有效地进行可靠性评估,克服了传统可靠性分析方法的困难。

关 键 词:发电系统  可靠性评估  神经网络  
文章编号:1000-7229(2002)07-0053-03
收稿时间:2010-01-25
修稿时间:2002-01-22

Appraisal Method for Reliability of Power Generation System Based on Nerve Network
Zhou Jun,Ding Jianyong. Appraisal Method for Reliability of Power Generation System Based on Nerve Network[J]. Electric Power Construction, 2002, 23(7): 53-0
Authors:Zhou Jun  Ding Jianyong
Abstract:For the purpose of improving the benefits of reliability appraisal for generation system the learning algorithm based on the nerve network and reliability appraisal algorithm for generation system have been put forward.This method does not need to set up a new mathematical model and has a good suitability to the variation of external parameters.The caluclation results indicate that the method can execute the reliability appraisal quickly and effectively and overcome the difficulties of the traditional analysis method for reliability.
Keywords:power generation system  reliability appraisal  nerve network  
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