DocumentCode :
1735224
Title :
Long-wave Irregularity Detection of High-speed Maglev Track
Author :
Shubin, Zheng ; Jianhui, Lin ; Guobin, Lin
fYear :
2007
Abstract :
This paper presents a method of detecting the long-wave track irregularity of Transrapid (TR) high-speed maglev based on inertial measuring principle. With this method, an acceleration signal, a velocity signal and a gap signal are required. The acceleration signal and the gap signal were sampled at an equal space interval controlled by the velocity signal. A double integration filter was used to transform the acceleration signal to a displacement signal. And a variable linear phase IIR filter was designed to extract the waveform of long-wave irregularity from the measuring waveform. The test result proves that this method is practicable for detecting long-wave track irregularity of high-speed maglev accurately, the measuring result is also immune to the variation of speed from 150 km/h to 430 km/h, and a single parameter is needed to adjust when extracting various waveforms of long-wave irregularity.
Keywords :
IIR filters; magnetic levitation; rail traffic; Transrapid high-speed maglev train; acceleration signal; displacement signal; double integration filter; gap signal; high speed maglev track; inertial measuring principle; long wave irregularity detection; variable linear phase IIR filter; vehicle-guideway system; velocity signal; Acceleration; Displacement measurement; Frequency measurement; Magnetic levitation; Mechanical variables measurement; Sampling methods; Signal processing; Time measurement; Trajectory; Vibration measurement; inertial principle; long-wave irregularity; reversal block processing; track detection; variable filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
Type :
conf
DOI :
10.1109/ICEMI.2007.4351137
Filename :
4351137
Link To Document :
بازگشت