ICIEA2021 Special Session on Artificial Intelligent for Prognostics and Health Management
Session Organizers: Dr. Xiaochuan Li, Dr. Liang Guo and Dr. Yi Wang
CALL FOR PAPERS
Mechanical equipment is gradually embarking on the road of complex, automated and intelligent development. In the big data era, prognostics and health management of mechanical equipment based on industrial big data analysis is an important research direction for the rapid development of manufacturing. The significant advantages of artificial intelligence technology in feature mining and knowledge learning provide a new way for prognostics and health management. Artificial intelligence operation and maintenance technology is an important technology means to improve the safety, availability and reliability of equipment. It is conducive to the intelligent upgrade of manufacturing enterprises and the improvement of enterprise benefits. Therefore, it has received extensive attention in the industry and academia.
In order to match-up experts in the academic and industry to exchange research ideas and facilitate cooperation in the domain of artificial intelligent for prognostics and health management. Xiaochuan Li from De Montfort University, Liang Guo from Southwest Jiaotong University and Yi Wang from Chongqing University, will organize a special session of IEEE ICIEA-2021, which is named as artificial intelligent for prognostics and health management. This session includes the following topics:
(1) Health indicator construction;
(2) Intelligent fault diagnosis;
(3) Performance degradation assessment;
(4) Remaining useful life prediction;
(5) Reliability analysis;
(6) Other topics related to artificial intelligent for prognostics and health management.
Scholars engaged in the field of artificial intelligent for prognostics and health management are welcome to submit your papers to this special session.
Submissions:
Papers are invited from prospective authors with interest on the related areas. All papers must be submitted electronically in PDF format by the submission deadline.
Special Session Organizers:
Dr. Xiaochuan Li: xiaochuan.li@dmu.ac.uk, De Montfort University
Dr. Liang Guo: guoliang@swjtu.edu.cn, Southwest Jiaotong University
Dr. Yi Wang: wycqdx@cqu.edu.cn, Chongqing University
