工业大数据驱动的故障预测与健康管理  

Industrial big data-driven fault prognostics and health management

作　　者：金晓航[1,2] 王宇[3] ZHANG Bin JIN Xiaohang;WANG Yu;ZHANG Bin(College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China;Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education and Zhejiang Province, Zhejiang University of Technology, Hangzhou 310023, China;State Key Laboratory for Manufacturing Systems Engineering,Xi'an Jiaotong University, Xi'an 710054, China;Department of Electrical Engineering, University of South Carolina, Columbia SC 29208, USA)

机构地区：[1]浙江工业大学机械工程学院,浙江杭州310023 [2]浙江工业大学特种装备制造与先进加工技术教育部重点实验室,浙江杭州310023 [3]西安交通大学机械制造系统工程国家重点实验室,陕西西安710054 [4]南卡罗来纳大学电气工程系,美国哥伦比亚SC29208

出　　处：《计算机集成制造系统》2022年第5期1314-1336,共23页Computer Integrated Manufacturing Systems

基　　金：国家重点研发计划资助项目(2022YFE0198900);国家自然科学基金资助项目(51505424,51875437);宁波市自然科学基金资助项目(2021J038)。

摘　　要：新一代人工智能技术的发展与应用装备积累了大量数据,推动着故障预测与健康管理(PHM)进入了工业大数据时代。结合装备的功能作用、结构组成和工作特点,分析装备大数据,进行价值挖掘、信息提取进而实现装备的状态监测、异常预警、故障诊断、寿命预测、智能维护等工作十分迫切。在回顾并剖析当前PHM技术内涵、发展现状与应用的同时讨论了装备工业大数据的特点、分析方法及其工作中的难点和疑点。以风力发电机组和机械硬盘两类典型复杂装备为例,从工业大数据角度对其PHM技术进行探讨,总结当前研究工作的热点与不足,思考未来研究方向,以期为相关领域的研究人员提供一定参考。With the development and application of artificial intelligence technology,equipment has accumulated massive amount of industrial big data,which pushed the equipment Prognostics and Health Management(PHM)technology into the era of industrial big data.There had great economic and social value to extract useful information in industrial big data for PHM by combining with the function,structure and working characteristics of the equipment.The development and application of PHM technology were reviewed,and the industrial big data analysis methods were discussed.Two case studies of unity-scale wind turbines and hard disk drives in big data environments were presented to demonstrate the advantages of industrial big data-driven PHM,which could provide a reference for researchers in related fields.

关 键 词：故障预测与健康管理 工业大数据 风力发电机组 机械硬盘 

分 类 号：TH17[机械工程—机械制造及自动化]