New-Gen AI-Driven Process Monitoring & Fault Diagnosis for Complex Systems (新一代人工智能驱动的复杂系统过程监测及故障诊断)
Chair: 
Zeyu Yang, Huzhou University, China
Co-chairs: 
Lingjian Ye, Huzhou University, China 
Gecheng Chen, Shenzhen University, China
Keywords: | Topics (Include but are not limited to): |
· Large Language Models, LLMs (大语言模型) · Knowledge Graphs (知识图谱) · Transfer Learning (迁移学习) · Reinforcement Learning (强化学习) · Quality Prediction (质量预报) · Fault Diagnosis (故障诊断) | · LLMs-Driven Industrial Intelligence and Applications (大语言模型驱动的工业智能与应用) · Industrial Big Data Analysis and Applications (工业大数据分析与应用) · Intelligent Perception and Soft Sensing Technologies (智能感知与软测量技术) · Intelligent Diagnosis and Health Management (智能诊断与健康管理) · Complex Systems Modeling and Control (复杂系统建模与控制) |
Summary:
· With the rapid advancement of new-generation artificial intelligence technologies, process industry automation is accelerating toward fully autonomous operation. This special issue focuses on five core domains: LLMs-driven industrial intelligence and applications, industrial big data analysis and applications, intelligent perception and soft sensing technologies, intelligent diagnosis and health management, and complex system modeling and control. It thoroughly explores how new-generation AI technologies empower complex industrial systems to achieve autonomous closed-loop operation encompassing perception, monitoring, and optimization. Through systematic analysis of technological application scenarios and practical cases, the special issue aims to promote deep integration of artificial intelligence with industrial systems. It provides innovative solutions for intelligent modeling and autonomous decision-making in complex industrial environments, ultimately facilitating the intelligent transformation and upgrading of the industry.
· 随着新一代人工智能技术的飞速发展，流程工业自动化正加速向全自主运行方向迈进。本专题聚焦大语言模型驱动的工业智能与应用、工业大数据分析与应用、智能感知与软测量技术、智能诊断与健康管理、复杂系统建模与控制五大核心领域，深入探讨新一代人工智能技术如何赋能复杂工业系统，实现感知、监测与优化的自主化闭环运行。通过系统剖析技术应用场景与实践案例，专题致力于推动人工智能与工业系统的深度融合，为复杂工业环境下的智能建模与自主决策提供创新性解决方案，助力行业智能化转型升级。