摘要
机械设备健康状态评估是故障预测与健康管理(prognostics and health management,PHM)的核心技术,是确保设备安全可靠运行的重要手段之一。随着传感器技术、信息技术和人工智能技术的不断发展,智能制造背景下的机械设备健康状态评估逐渐成为领域研究热点。将机械设备健康状态评估划分为三方面研究内容,分别对每个研究内容的发展分支与研究现状进行了梳理、分析和总结,探讨了当前机械设备健康状态评估面临的主要挑战和未来可能的发展趋势。
Health assessment and remaining useful life prediction of mechanical equipment is a key technology in Prognostics and Health Management(PHM),which is one of the important measures to ensure safe and reliable operation of equipment.With the continuous development of sensor technology,information technology and artificial intelligence technology,the health status assessment and remaining useful life prediction of mechanical equipment under the background of intelligent manufacturing has gradually become a research hot spot.The health status assessment and remaining useful life prediction of mechanical equipment were divided into three aspects.Then,the development branch and research status of each research content were combed,analyzed and summarized respectively.The main challenges and possible development trends of the health assessment and remaining useful life prediction of mechanical equipment were discussed.
作者
梁伟阁
张钢
王健
佘博
田福庆
LIANG Weige;ZHANG Gang;WANG Jian;SHE Bo;TIAN Fuqing(Institute of Weapons Engineering,Naval University of Engineering,Wuhan 430033,China;Department of Missile and Naval Gun,Dalian Naval Academy,Dalian 116000,China;The No.91614th Troop of PLA,Dalian 116000,China)
出处
《兵器装备工程学报》
CAS
CSCD
北大核心
2022年第7期67-77,共11页
Journal of Ordnance Equipment Engineering
基金
国家自然科学基金项目(61640308)
湖北省自然科学基金项目(2019CFB362)。
关键词
机械设备
健康状态评估
剩余寿命预测
健康因子
智能预测
mechanical equipment
health state assessment
remaining useful life prediction
health indicator
intelligent prediction