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基于神经网络的工业企业电气安全评价方法研究
引用本文:岳丽宏,陈为标,田丽,杨启鹏.基于神经网络的工业企业电气安全评价方法研究[J].青岛理工大学学报,2007,28(4):7-10.
作者姓名:岳丽宏  陈为标  田丽  杨启鹏
作者单位:1. 青岛理工大学,科技处,青岛,266033
2. 沈阳建筑大学,高等职业技术学院,辽阳,111000
3. 青岛理工大学,环境与市政工程学院,青岛,266033
摘    要:提出工业企业电气神经元网络安全评价方法.在论述BP神经网络基本原理和基本算法基础上,以工业企业电力系统的"安全可靠、经济合理"和其定义所包含的各项内容为依据,从电气设备固有安全性、环境及管理三个层面建立包含14项指标的评价指标体系.以此建立工业企业电气系统综合安全评价模型并进行求解.该方法运用到黄岛热电厂的系统安全状况评价中,预测结果与实际情况基本相符.

关 键 词:电气系统  安全评价  神经网络  BP网络模型
文章编号:1673-4602(2007)04-0007-04
修稿时间:2007-03-13

Study of electrical safety assessment of industry based on artificial neural network
YUE Li-hong,CHEN Wei-biao,TIAN Li,YANG Qi-peng.Study of electrical safety assessment of industry based on artificial neural network[J].Journal of Qingdao Technological University,2007,28(4):7-10.
Authors:YUE Li-hong  CHEN Wei-biao  TIAN Li  YANG Qi-peng
Affiliation:la. Division of Science and Technology; lb. School of Environmental and Municipal Engineering, Qingdao Technological University, Qingdao 266033, China; College of Altitude Occupational Technology, Shenyang Architecture University, Liaoyang 111000, China
Abstract:A method of electrical safety assessment of industry based on artificial neural network is proposed.The basic principle and algorithm of BP neural network are introduced briefly.On this foundation,taking a safe,reliable, economical and rational electrical system of industry and its contents involved as criteria,fourteen assessment indexes of electric safety system are determined,involving three aspects such as reliability of electrical equipments,environment and safety management to form a new safety assessment index system.According to the index system,the model of comprehensive safety assessment of electrical system has been established and solved.The method has been tested in Huangdao Thermo-Power Plant.Predicted results are found to be in full compliance with the real condition of the plant.It shows that the method of electrical safety assessment of industry based on artificial neural network is rational.
Keywords:electrical system  safety assessment  neural network  BP neural model
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