Guest Editorial Special Issue on Industrial Big Data and Artificial Intelligence-Driven Intelligent Perception, Maintenance, and Decision Optimization in Industrial Systems  

作　　者：Jipu Li Haidong Shao Yun Kong Zhuyun Chen 

机构地区：[1]Department of Industrial and Systems Engineering,The Hong Kong Polytechnic University,Hong Kong,China [2]College of Mechanical and Vehicle Engineering,Hunan University,Changsha,410082,China [3]School of Mechanical Engineering,Beijing Institute of Technology,Beijing,100081,China [4]Mechanical and Automotive Engineering,South China University of Technology,Guangzhou,510006,China

出　　处：《Computers, Materials & Continua》2025年第2期3609-3613,共5页计算机、材料和连续体(英文)

基　　金：supported by the Science and Technology Innovation Program of Hunan Province(No.2023RC3097);in part the National Natural Science Foundation of China(No.52105108);in part Young Elite Scientists Sponsorship Program by CAST(No.2023QNRC001).

摘　　要：1 Introduction In recent years,the rapid development of industrial big data and artificial intelligence(AI)technologies has revolutionized the industrial landscape.Industrial systems,such as manufacturing,energy,transportation,and logistics,have become increasingly complex,generating vast amounts of data[1–3].These big data encompass a wide range of data sources,including sensor data,production logs,and maintenance records,which hold valuable insights[4–6].Moreover,machine learning-based AI techniques can be applied to extract meaningful insights from this big data[7].

关 键 词：meaningful GENERATING artificial 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]