TY - GEN
T1 - Technology Innovation in Developing the Health Monitoring Cloud Platform for Maglev Vehicle-Suspension-Guideway Coupling System
AU - Wang, Su Mei
AU - Lu, Yang
AU - Ni, Yi Qing
AU - Wang, You Wu
N1 - Publisher Copyright:
© 2023 by DEStech Publi cations, Inc. All rights reserved
PY - 2023
Y1 - 2023
N2 - The maglev transport system, which has the advantages of a wide speed range, smaller turning radius, and higher climbing ability, has currently been constructed and developed in China. Currently, one high-speed maglev business line and two low-speed maglev business lines are in operation, while many more maglev lines are in construction in China. For monitoring the operation condition of the maglev system, a health monitoring (HM) system based on the cloud platform has been designed for the whole maglev vehicle-suspension-guideway system. The study presented in this paper summarizes the innovative technology on design and the implementation of this HM cloud platform. In this paper, the modular design of the HM cloud platform is introduced first. The integration of on-board and way-side monitoring, and the application of the Big Data technologies, cloud computing, and artificial intelligence algorithms in the HM cloud platform are the focus of this paper and followed by the introduction of the special function of the presented HM cloud platform. The latter is used to verify and evaluate the effectiveness of the suspension control system.
AB - The maglev transport system, which has the advantages of a wide speed range, smaller turning radius, and higher climbing ability, has currently been constructed and developed in China. Currently, one high-speed maglev business line and two low-speed maglev business lines are in operation, while many more maglev lines are in construction in China. For monitoring the operation condition of the maglev system, a health monitoring (HM) system based on the cloud platform has been designed for the whole maglev vehicle-suspension-guideway system. The study presented in this paper summarizes the innovative technology on design and the implementation of this HM cloud platform. In this paper, the modular design of the HM cloud platform is introduced first. The integration of on-board and way-side monitoring, and the application of the Big Data technologies, cloud computing, and artificial intelligence algorithms in the HM cloud platform are the focus of this paper and followed by the introduction of the special function of the presented HM cloud platform. The latter is used to verify and evaluate the effectiveness of the suspension control system.
UR - http://www.scopus.com/inward/record.url?scp=85182271403&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85182271403
T3 - Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring
SP - 1678
EP - 1685
BT - Structural Health Monitoring 2023
A2 - Farhangdoust, Saman
A2 - Guemes, Alfredo
A2 - Chang, Fu-Kuo
PB - DEStech Publications
T2 - 14th International Workshop on Structural Health Monitoring: Designing SHM for Sustainability, Maintainability, and Reliability, IWSHM 2023
Y2 - 12 September 2023 through 14 September 2023
ER -