选煤设备远程故障预测系统设计_中国煤炭行业知识服务平台

选煤设备远程故障预测系统设计

作者

付翔王然风庞亮
单位

太原理工大学矿业工程学院西山煤电（集团）有限责任公司马兰矿选煤厂
Organization

College of Mining Engineering, Taiyuan University of Technology; Malan Coal Preparation Plant, Xishan Coal Electricity Group Co., Ltd.
摘要

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。
Abstract

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.
关键词

智能化选煤厂选煤设备故障预测全信息远程运维故障分类模型
KeyWords

intelligent coal preparation plant,coal preparation equipment,fault prediction,full information,remote operation and maintenance, fault classification model
基金项目(Foundation)

山西省科技计划研究项目（201801D221358）
相关文章

[1]智能化选煤厂架构及关键技术
[2]基于选煤信息模型的智能化选煤厂三维可视化管理平台设计
相关专题

这篇文章属于“智能化选煤厂建设关键技术”专题（5篇）