【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.更多还原

【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.更多还原