ICIEA 2026 Special Session

SS21: Intelligent Mechatronic System and Health Maintenance

Organized by:

Organizer 1: Xingjian Wang

Email: wangxj@buaa.edu.cn

Affiliation: Beihang University, China

Organizer 2: Yuwei Zhang

Email: zhangyuwei@buaa.edu.cn

Affiliation: Beihang University, China

Organizer 3: Rentong Chen

Email: rentongchen@buaa.edu.cn

Affiliation: Beihang University, China

Organizer 4: Shaoping Wang

Email: shaopingwang@buaa.edu.cn

Affiliation: Beihang University, China

Summary of session:

Propelled by the deep integration of Industry 4.0, artificial intelligence, and digital twin technologies, intelligent mechatronic systems are undergoing a fundamental paradigm shift from "automation" to "intelligence." Traditional mechatronic systems, once reliant on fixed control logics, are gradually evolving into adaptive, interactive intelligent entities. This intelligent upgrading significantly enhances the system’s adaptability to dynamic and complex scenarios, representing a pivotal leap in the intelligence level of mechatronic systems.

Simultaneously, the wave of digital transformation has emerged as a core driver for improving the reliability of mechatronic systems. The establishment of digital twins for mechatronic systems enables bidirectional mapping between physical assets and virtual replicas, realizing full-lifecycle data monitoring spanning design, manufacturing, operation, and maintenance. Through real-time collection and analysis of key operating parameters, potential performance degradation can be proactively detected. Coupled with big data analytics, the accuracy of fault prognosis is significantly enhanced. This digital-driven health management model has overcome the constraints of traditional reactive maintenance and scheduled maintenance, effectively mitigating the risk of unexpected failures and prolonging system service life—thereby laying a solid foundation for the high-reliability operation of mechatronic systems in critical sectors like aerospace.

This session covers a series of interrelated and complementary key research directions, forming a complete logical chain from system design, intelligent control to health management. By complementing IEEE ICIEA’s focus on industrial electronics, automation, and intelligent systems, this session aims to stimulate new research directions and build stronger links between academic advances and industrial frontiers.

Topics of Interest (include but are not limited to):

• Mechatronic-hydraulic control: High-precision coordinated control of mechanical, electronic and hydraulic units; control strategy optimization for complex mechatronic systems.
• Embodied intelligence: Multi-modal perception and adaptive decision-making for mechatronic systems; intelligent interaction mechanism between mechatronic systems and complex environments.
• Digital Twin for Mechatronics: Virtual-physical bidirectional mapping of mechatronic systems; digital-driven full-life-cycle health monitoring.
• Human-Robot Collaboration: Safe interaction control of mechatronic collaborative systems; human-machine task allocation and coordinated execution.
• Fault diagnosis and prognosis: Data-driven fault diagnosis for intelligent mechatronic systems; remaining useful life prediction based on multi-source monitoring data.
• Maintenance decision optimization: Predictive maintenance strategy formulation; maintenance scheduling optimization considering resource constraints and fault risks.