机电装备健康状态评估研究进展及发展趋势  

Research progress and development trend of health assessment of electromechanical equipment

作　　者：李国发[1,2] 王彦博 何佳龙[1,2] 王继利 LI Guo-fa;WANG Yan-bo;HE Jia-long;WANG Ji-li(Key Laboratory of CNC Equipment Reliability,Ministry of Education,Jilin University,Changchun 130022,China;College of Mechanical and Aerospace Engineering,Jilin University,Changchun 130022,China)

机构地区：[1]吉林大学数控装备可靠性教育部重点实验室,长春130022 [2]吉林大学机械与航空航天工程学院,长春130022

出　　处：《吉林大学学报（工学版）》2022年第2期267-279,共13页Journal of Jilin University:Engineering and Technology Edition

基　　金：吉林省科技发展计划项目(20210201055GX).

摘　　要：机电装备的维修、保养直接影响其综合利用效率和使用寿命,健康状态评估是制定装备维护策略、管理维修资源的重要依据,是实现装备预测性维护、故障预测和健康管理的前提。传统的机电装备健康状态评估方法存在过分依赖专家经验、无法处理大规模数据、准确度低等缺点,难以满足现代机电装备健康管理技术的需求。本文在梳理、分析国内外机电装备健康状态评估最新研究成果的基础上,从信号获取、特征提取、健康状态等级划分和健康状态评估四个关键环节,综述了机电装备健康状态评估方法的研究进展和发展动态,指出了机电装备健康状态评估相关技术面临的挑战及解决途径。The maintenance and repair of electromechanical equipment such as aerospace equipment,highgrade CNC machine tools and wind power generation equipment directly affect its comprehensive efficiency and service life.Health assessment is the basis of maintenance strategy formulation and maintenance resource management.It is the premise of predictive maintenance,fault prediction and health management.The traditional health assessment method has the disadvantages of relying too much on expert experience,unable to process large-scale data and low accuracy,which is difficult to meet the needs of modern electromechanical equipment health management technology.On the basis of combing and analyzing the latest research results of health status assessment of electromechanical equipment at home and abroad,this paper summarizes the research progress and development trend of health assessment of electromechanical equipment from four key links:signal acquisition,feature extraction,health status division and health assessment;The challenges faced by the related technologies of health assessment of electromechanical equipment are pointed out;Finally,the solutions and development trends to deal with these challenges are discussed.

关 键 词：机械工程 机电装备 特征提取 健康状态等级划分 健康状态评估 

分 类 号：TH17[机械工程—机械制造及自动化]