2026 International Conference on Advanced Sensing, Condition Monitoring, and Intelligent Maintenance Innovations (UNIfied 2026-SMMI) will be held from May 13 to 16, 2026, in Guangzhou, China. Initiated in 2019 by the University of Huddersfield, the University of Manchester, and Cardiff University in the UK, along with leading domestic institutions including Tsinghua University, Shanghai Jiao Tong University, and Beijing Institute of Technology, the UNIfed conference series (encompassing DAMAS, InCoME, and TEPEN) aims to provide an effective platform for knowledge sharing and exchange among field practitioners, experts, and scholars in structural health monitoring, non-destructive testing, fault diagnosis, and prognostics. To date, the conference has been successfully held seven times, hosted by Beijing Institute of Technology, Hebei University of Technology, Beijing Information Science & Technology University, Inner Mongolia University of Science & Technology, University of Huddersfield, Qingdao University of Technology, and Hunan Institute of Engineering.

The 2026 edition is jointly organized by Guangzhou University, Guangdong University of Technology, the Equipment and Maintenance Engineering Branch of the Guangdong Mechanical Engineering Society, the Measurement Control Technology and Equipment Application Promotion Association of Guangdong Province, and the University of Huddersfield (UK), with support from multiple universities and enterprises. The conference will feature six thematic forums: “Advanced Sensing and Signal Processing,” “Condition Monitoring and Fault Diagnosis,” “Wind Power Equipment and Intelligent Maintenance,” “Non-Destructive Testing and Damage Assessment,” “Dynamics and Vibration Control,” and “Artificial Intelligence and Industrial Digitalization.” Through various session formats including keynote speeches, oral presentations, and poster sessions, the conference will provide a high-level academic exchange platform, promoting the deep integration and innovative development of advanced sensing, intelligent maintenance, and fault diagnosis technologies. Participants will have the opportunity to share cutting-edge research achievements, discuss industrial challenges and opportunities, broaden research perspectives, and facilitate collaborative progress between academia and industry.