摘要
本文以数据采集与监控(SCADA)系统提供数据和设备故障的历史数据作为故障预测的数据来源,对动态数据和静态数据采用BP神经网络建模,测试结果说明了模型的有效性。
This paper makes the data provided by SCADA system and the historical data of device fault as the data source, and establishes BP neural network model based on dynamic data and static data. The effectiveness of the approach is proposed by the test results.
出处
《微计算机信息》
北大核心
2006年第06S期220-222,6,共4页
Control & Automation
