基于BP网络的装备预知维修

Predictive Maintenance of Equipment Based on BP Neural Network

基于神经网络的装备维修预测专家系统由控制、测量、故障预测、执行和数据处理等模块及数据库组成。依据测量模块的检测与诊断信息,数据处理模块得知被控对象的结构与参数变化并实施相应控制措施。故障预测模块按预先设定发现控制系统故障,分离故障征兆部位,判别故障种类,估计故障大小与时间,进行评价与决策。

s: The predictive expert system of equipment maintenance based on the ANN was composed of the control, measure, failure forecast, execution, data process module and database. The change parameters and structure of controlled objects was got form data process module, and then took correspondent measures according to the examination and diagnosis information. The control system fault was found, the fault symptom location was separated, the fault kind was told, the magnitude and time of the fault was estimated, and the evaluation and decision made with failure forecast module.