选煤设备远程故障预测系统设计

Design of remote fault prediction system for coal preparation equipments

针对目前选煤设备故障预测存在设备监测数据转换方法不统一、单一的故障分类模型难以满足多种故障类型预测要求、故障分类模型无法在线更新和修正等问题,基于远程运维模式,设计了一种选煤设备远程故障预测系统。通过对选煤设备传感器数据进行预处理,生成规范的全信息并输入至多种故障分类模型,通过加权计算总体故障指标,并利用综合决策获得故障预测结果,可为智能化选煤厂设备全生命周期管理提供技术支撑。应用结果验证了该系统的有效性。

In view of problems existing in current coal preparation equipments fault prediction, such as equipments monitoring data conversion method was not unified, single fault classification model cannot meet requirements of multiple fault types prediction, and the fault classification model cannot be updated and modified online. Based on remote operation and maintenance mode, a remote fault prediction system for coal preparation equipment was designed. By preprocessing sensor data of coal preparation equipment, full information is generated and input to various fault classification models. Overall fault index is weighted and fault prediction result is obtained through comprehensive decision. It can provide technical support for the whole life cycle management of intelligent coal preparation plant equipments. The application results verify effectiveness of the system.