TY - GEN
T1 - Online Monitoring System for Short Stator Maglev Train
AU - Lu, Yang
AU - Wang, Semei
AU - Zhu, Qi
AU - Liu, Shengyuan
AU - Ni, Yiqing
N1 - Publisher Copyright:
© 2023 by DEStech Publi cations, Inc. All rights reserved
PY - 2023
Y1 - 2023
N2 - Maglev train is a new kind of transportation mode that uses magnetic force to levitate and propel the train along a track. It is becoming more popular especially in China, where several maglev lines are in operation or under construction. Unlike the traditional wheel-based train, maglev train is suspended above the track, with a desired gap of about 8 mm. Due to the small gap, any disturbance of the suspension system may cause failure of suspension. The sources of disturbance include irregularity of track, variation in load, variation in parameters of the train structure (such as stiffness and damping of air spring), unexpected coupling vibration of the train-track-bridge system, and large displacement of the track and bridge. An online monitoring system was designed and installed on a maglev train and the corresponding line to collect the necessary data for analyzing the condition of the train and line and the mechanism of dynamic interaction of the train-track-bridge system. The monitoring items for the maglev train include the acceleration of the maglev bogies and carriages, the suspension gap, and the current of electromagnets. The monitoring items for the line include the acceleration of the bridge and track in concrete straight section, concrete curve section, tunnel wall and steel turnout. They also include relative displacement between concrete bridge and track, and strain of the track. Piezoelectric accelerometers, laser displacement sensors, fiber Bragg grating sensors and electric eddy displacement sensors are used in the monitoring system. All sensors are connected to data acquisition equipment by signal cable. The online monitoring system detected some unexpected conditions of the train and line, such as over-limit irregularity of the track, vibration resonance between the train and track, and suspension failure of the train. The data collected when the train was operating at different speeds and passing through different sections of the line was analyzed. The online monitoring system helped to speed up the debugging process before the maglev line started its official operation.
AB - Maglev train is a new kind of transportation mode that uses magnetic force to levitate and propel the train along a track. It is becoming more popular especially in China, where several maglev lines are in operation or under construction. Unlike the traditional wheel-based train, maglev train is suspended above the track, with a desired gap of about 8 mm. Due to the small gap, any disturbance of the suspension system may cause failure of suspension. The sources of disturbance include irregularity of track, variation in load, variation in parameters of the train structure (such as stiffness and damping of air spring), unexpected coupling vibration of the train-track-bridge system, and large displacement of the track and bridge. An online monitoring system was designed and installed on a maglev train and the corresponding line to collect the necessary data for analyzing the condition of the train and line and the mechanism of dynamic interaction of the train-track-bridge system. The monitoring items for the maglev train include the acceleration of the maglev bogies and carriages, the suspension gap, and the current of electromagnets. The monitoring items for the line include the acceleration of the bridge and track in concrete straight section, concrete curve section, tunnel wall and steel turnout. They also include relative displacement between concrete bridge and track, and strain of the track. Piezoelectric accelerometers, laser displacement sensors, fiber Bragg grating sensors and electric eddy displacement sensors are used in the monitoring system. All sensors are connected to data acquisition equipment by signal cable. The online monitoring system detected some unexpected conditions of the train and line, such as over-limit irregularity of the track, vibration resonance between the train and track, and suspension failure of the train. The data collected when the train was operating at different speeds and passing through different sections of the line was analyzed. The online monitoring system helped to speed up the debugging process before the maglev line started its official operation.
UR - http://www.scopus.com/inward/record.url?scp=85182258753&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85182258753
T3 - Structural Health Monitoring 2023: Designing SHM for Sustainability, Maintainability, and Reliability - Proceedings of the 14th International Workshop on Structural Health Monitoring
SP - 373
EP - 380
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 -