Intelligent operation and maintenance is the premise for safe and reliable operation of equipment, and also an important guarantee for improving life cycle of products. With the rapid development of intelligent manufacturing and equipment informatization, there is an increasing and urgent need for basic theoretical breakthroughs and advanced technological innovation on equipment operation and maintenance (EOM). Intelligent operation and maintenance is an emerging technology that covers equipment condition monitoring, fault diagnosis and remaining useful life prediction. It integrates big data and machine learning to make the equipment operation process highly automated and intelligent, and plays a vital role in the equipment operation process. In the long term to come, intelligent operation and maintenance will be the driving force to the new generation of intelligent manufacturing and equipment upgrading in China, and promote the demand for intelligent product services and management. In view of this, the Equipment Intelligent Operation and Maintenance Branch of the Chinese Society of Mechanical Engineering will host the first edition of the International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM2025), and invite experts and scholars in this field to discuss and exchange ideas on the current development of equipment intelligent operation and maintenance in Urumqi in August 2025.

The IEEE Instrumentation and Measurement Society serves as the Technical Sponsor of this conference. All the accepted papers will be included in IEEE Explore and submitted for EI indexing. The extended excellent papers will be recommended for publication in journals such as IEEE Transactions on Instrumentation and Measurement and Chinese Journal of Mechanical Engineering

 Equipment Operation and Maintenance Technology and Method 

 Foundational Theories and Development Trend for EOM

 Signal and Image Processing for EOM

 System Monitoring, Fault Diagnosis and Prediction

 Sensors Technology and Internet of Things Technology for EOM

 Artificial Intelligence for EOM

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