It gives us a great pleasure to invite you to attend the 3rd World Congress on Condition Monitoring (WCCM 2021), which is sponsored by the ISCM and organized by CMES, ChSNDT and CSEI. This event follows the successful inaugural the First World Congress on Condition Monitoring (WCCM) 2017 in London and the Second WCCM 2019 in Singapore.
The ISCM is an international forum for individuals and organizations with an interest in condition monitoring and related areas. Its purpose is to bring together an international community with the common aim of achieving excellence in the development and practice of condition monitoring and related areas. The ISCM will achieve its aim through:
Beijing, the capital of People’s Republic of China, is a fascinating place for tourists home and abroad. As one of China's four ancient capitals, with its profound history of 3000 years, Beijing is the cultural, political, and historical center of China. It is widely considered to be one of the most magnificent cities in the world.
In October 12-15, 2021, the Third WCCM will be held in Beijing, China. As the organizers for this great event and on behalf of the sponsors, we would like to extend our warm welcome to invite everyone who cares about CM to the WCCM 2021 Beijing. We shall do our best to offer opportunities for networking, making new friends, and enjoying the beauty of Beijing.
We are looking forward to meeting you in October, 2021 in Beijing, China.
Organizing Committee
The Chair:
Prof. Gongtian Shen, China Special Equipment Inspection and Research Institute, China
Vice Chair:
Prof. Laibin Zhang, China University of Petroleum, China
Prof. Len Gelman, the University of Huddersfield, UK
Members:
Prof. Fulei Chu, Tsinghua University, China
Prof. Xuefeng Chen, Xi’an Jiaotong University, China
Prof. Zhike Peng, Shanghai Jiao Tong University, China
Prof. Jing Lin, Beihang University, China
Prof. Jianchun Fan, China University of Petroleum, China
Prof. Bin Hu, China Special Equipment Inspection and Research Institute, China
The International Scientific Advisory Committee
The Chair:
Prof. Len Gelman, the University of Huddersfield, UK
Vice-Chairs:
Prof. Gongtian Shen, China Special Equipment Inspection and Research Institute, China
Dr. Nadine Martin, Université Grenoble Alpes, France
Prof. Laibin Zhang, China University of Petroleum, China
Prof. Fulei Chu, Tsinghua University, China
Prof. Gary Qi, University of Memphis, USA
Prof. Guiyun Tian, Newcastle University, UK
Prof. Tomoki Shiotani, Kyoto University, Japan
Prof. Xuefeng Chen, Xi’an Jiaotong University, China
Prof. Zhike Peng, Shanghai Jiao Tong University, China
Prof. Jing Lin, Beihang University, China
Prof. Jianchun Fan, China University of Petroleum, China
Congress Secretariat
General Secretary:
Bin Hu, China Special Equipment Inspection and Research Institute, China
Members:
Junjiao Zhang, China Special Equipment Inspection and Research Institute, China
Jingyuan Ji, Chinese Society for Non-destructive Testing, China
Ran Liu, China Special Equipment Inspection and Research Institute, China
He Yan, China Special Equipment Inspection and Research Institute, China
Zhanwen Wu, China Special Equipment Inspection and Research Institute, China
Jiwang Zhang, China Special Equipment Inspection and Research Institute, China
Topics:
● Condition monitoring technologies and systems |
● ITC for condition monitoring |
● Structural health monitoring technologies and systems |
● Repair and overhaul |
● Architecture of condition monitoring systems |
● Internet of things and services |
● Wireless techniques and systems for condition monitoring |
● Digitalization for condition monitoring |
● Computational fluid dynamics for condition monitoring |
● Failure consequences |
● Robotics for condition monitoring and maintenance |
● Root cause analysis: case studies |
● Measurement for condition monitoring |
● Failure assessment |
● Condition monitoring and maintenance education |
● Asset management systems |
● Standards for condition monitoring and maintenance |
● Life-cycle analysis for maintenance |
● Communication for condition Monitoring |
● Through-life support |
● Risk based maintenance and risk management |
● Fatigue and fracture |
● Standard and new sensors and actuators |
● Sustainability of complex assets |
● Health & safety in maintenance |
● Maintenance: case studies |
● Design improvement via condition monitoring |
● Physics of failure, failure modes |
● Nano technologies for condition monitoring |
● Model and data driven prognostics |
● Fatigue and fracture prognosis |
● Prognostics: case studies |
● Design for optimal maintainability |
● Energy harvesting sensors |
● Root cause analysis of faults |
● Root cause analysis techniques |
● Maintenance management 4.0 strategy |
● Sensor fusion |
● Modelling for condition monitoring |
● Data mining and fusion |
● Condition monitoring: case studies |
● Image processing |
● Adaptation of condition monitoring technologies |
● Embedded sensors |
● Big data, data analytics and smart data management |
● Finite element analysis |
● Dynamical system analysis |
● Modal analysis |
● Computational methods for condition monitoring |
● Equipment troubleshooting |
● Materials, materials manufacturing and characterization |
● Noise and vibration of assets |
● Condition monitoring via performance characteristics |
● Strain/Stress analysis |
● High performance computing for condition monitoring systems
● Pattern recognition, machine learning and artificial intelligence
● Logistics and spare part management, maintenance supply chain
● Training and certification for condition monitoring and maintenance
● Hardware and software platforms for condition monitoring systems
● Reliability centered maintenance and reliability engineering and management
● Non-destructive testing and evaluation (NDTE): technologies and systems
● Linear, nonlinear, time, frequency and time-frequency signal processing
● Lubrication, tribology and tribo-vibroacoustics for condition monitoring
10月12日
2021
10月15日
2021
摘要截稿日期
摘要录用通知日期
初稿截稿日期
初稿录用通知日期
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