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 

作者机构：Department of Industrial and Systems EngineeringThe Hong Kong Polytechnic UniversityHong KongChina College of Mechanical and Vehicle EngineeringHunan UniversityChangsha410082China School of Mechanical EngineeringBeijing Institute of TechnologyBeijing100081China Mechanical and Automotive EngineeringSouth China University of TechnologyGuangzhou510006China 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体(英文))

年 卷 期：2025年第82卷第2期

页      面：3609-3613页

核心收录：

学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 

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) 

主　　题：meaningful generating artificial 

摘      要：1 Introduction In recent years,the rapid development of industrial big data and artificial intelligence(AI)technologies has revolutionized the 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].