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钢铁企业设备预测性维护方式的建立及思考

Establishment and consideration of predictive equipment maintenance approaches for iron & steel companies
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摘要 以“中国制造2025”为指导,围绕“数字化、网络化、绿色化”智能制造发展战略,以钢铁产业链价值提升为主线,合理运用新一代自动化、信息化及智能化技术及装备,推动由“钢铁制造”向“钢铁智造”的高质量发展,产生了以状态为依据的预测性维护策略,预测性维护集设备状态监测、故障诊断、故障(状态)预测、维修决策支持和维修活动于一体,是一种新兴的维修方式。 Under the guidance of"Made in China 2025"and the development strategy of"digital,networked and green"intelligent manufacturing,and with the value enhancement of the iron and steel industry chain as the main line,new-generation automatic,information-based and intelligent technology and equipment have been properly applied to promote high quality transformation from"iron&steel manufacturing"to"iron&steel intelligent manufacturing",and a state-based predictive maintenance strategy has been developed.The new maintenance method integrates equipment state monitoring,fault diagnosis,fault(status)prediction,maintenance decision support,and maintenance activities.
作者 朱传磊 宋富斌 张军 林圣平 殷宝强 Zhu Chuanlei;Song Fubin;Zhang Jun;Lin Shengping;Yin Baoqiang(Rizhao Steel Holding Group Co.,Ltd.,Rizhao,Shandong 276806)
出处 《冶金设备管理与维修》 2023年第1期45-47,共3页 Metallurgical Equipment Management and Maintenance
关键词 设备管理 预测性维护 智慧化 equipment management predictive maintenance intelligence
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