Study on Running Stability of Maglev Train

Li Wanlei; Chen Tianxing; Hu Ruixia; Li Xiang

doi:10.13433/j.cnki.1003-8728.20180238

Volume 38 Issue 5

May 2019

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Article Navigation > Mechanical Science and Technology for Aerospace Engineering > 2019 > 38(5): 677-683

Li Wanlei, Chen Tianxing, Hu Ruixia, Li Xiang. Study on Running Stability of Maglev Train[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(5): 677-683. doi: 10.13433/j.cnki.1003-8728.20180238

Citation:

Li Wanlei, Chen Tianxing, Hu Ruixia, Li Xiang. Study on Running Stability of Maglev Train[J]. Mechanical Science and Technology for Aerospace Engineering, 2019, 38(5): 677-683. doi: 10.13433/j.cnki.1003-8728.20180238

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Study on Running Stability of Maglev Train

doi: 10.13433/j.cnki.1003-8728.20180238

1.
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China
2.
State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China

Received Date: 2018-06-21
Publish Date: 2019-05-05

Abstract

Abstract

The signal feature extraction of medium and low speed maglev train is one of the key technologies for the safe and reliable operation and fault diagnosis of the maglev train. The fast Fourier transform(FFT)and short time Fourier transform(STFT)are applied in the feature extraction for non-stationary characteristics of the maglev train. Using this way, not only the vibration signal can be analyzed from time domain, but also the characteristics of trains' operation can be analyzed from frequency domain. At the same time, the instantaneous characteristic of information can be obtained, with the extraction ability of nonstationary signal of maglev train improved, monitoring the real-time state and ensuring the safety and reliability of trains' operation accordingly. Based on the experiment of maglev train running on track, the real-time vibration signal of train is obtained. The vibration of car body is analyzed with FFT and STFT in 2 s (train crossing), 4 s (suspension working condition), 6 s (acceleration condition) and 8 s (braking working condition). The results show that the vibration and frequency components of the train are positively related to the train running speed; during the running of trains, the smoothness of the trains in the lateral and vertical directions has always been excellent.
- maglev train,
- FFT,
- STFT,
- time domain analysis,
- frequency domain analysis,
- running stability

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References(15)

References

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