摘要
针对水电设备管理的特点,确定了BP神经网络模型预测设备运行状态的架构,利用企业设备管理信息系统中的样本数据采用动量因子法对该模型进行了学习训练,得到了水电设备运行状态评估的预测模型。实例验证表明该模型可以有效地进行水电设备状态评估。
According to the management characteristics of hydropower equipment , an operation status assessment ap-proach based on the BP neural network model is developed .In this approach , the momentum factor method and sample data from the equipment management information system are adopted to train the neural network .Then, a forecasting model is obtained .The practicability and effectiveness of the approach in operation status assessment of hydropower e -quipment is demonstrated by a practical example .
出处
《水电与新能源》
2015年第12期35-38,56,共5页
Hydropower and New Energy
关键词
水电设备
设备评估
BP神经网络
hydropower equipment
equipment assessment
BP neural network
