Volume 22 Issue 2
Apr.  2022
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2022  >  22(2): 1-18
ZENG Jing, PENG Xin-yu, WANG Qun-sheng, ZHANG Hao, LIANG Song-kang. Review on detection technologies of railway vehicle wheel flat fault[J]. Journal of Traffic and Transportation Engineering, 2022, 22(2): 1-18. doi: 10.19818/j.cnki.1671-1637.2022.02.001
Citation: ZENG Jing, PENG Xin-yu, WANG Qun-sheng, ZHANG Hao, LIANG Song-kang. Review on detection technologies of railway vehicle wheel flat fault[J]. Journal of Traffic and Transportation Engineering, 2022, 22(2): 1-18. doi: 10.19818/j.cnki.1671-1637.2022.02.001
shu

Review on detection technologies of railway vehicle wheel flat fault

doi: 10.19818/j.cnki.1671-1637.2022.02.001

  • State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

Funds:

National Natural Science Foundation of China 61960206010

National Natural Science Foundation of China 52102441

Independent Project of State Key Laboratory of Traction Power 2022TPL-T10

Independent Project of State Key Laboratory of Traction Power 2019TPL-T18

More Information
  • Author Bio:

    ZENG Jing(1963-), male, professor, PhD, zeng@swjtu.edu.cn

  • Received Date: 2021-11-04
  • Publish Date: 2022-04-25
    Abstract
  • From the impact effect of wheel flat of railway vehicle on track and its damage to vehicle parts, several schemes for the wheel flat detection were systematically combed out.The characteristics of various kinds of wheel flat fault detection methods were discussed, the advantages and disadvantages of different methods were compared, and the development trend of the system for wheel flat fault detection technologies was predicted. Analysis results reveal that the wheel flat fault detection technologies can be divided into the vehicle-mounted detection method and wayside detection method, among which the wayside detection method is widely used. At present, the relatively mature wheel flat detection technologies are mainly divided into the wheel and rail impact detection method, ultra-sonic detection method, noise detection method, wheel tread displacement detection method, vibration acceleration detection method, image detection method, optical detection method, track circuit interruption method and so on.In recent years, with the development of science and technology, methods such as the Doppler effect method, ultrasonic echolocation method and so on have emerged.With the progress of modern intelligent algorithms, intelligent algorithms such as the neural networks are employed to the train equipment for the fault identification, which can greatly simplify the equipment development process and device structure. Therefore, intelligent algorithms may become the main development direction of wheel flat fault identification. As time goes by, the trend of multi-fault integration of detection equipment becomes more prominent, and multi-fault detection integration and functional diversification have become one of the important directions in the development of intelligent detection equipment. In the future, the improvements in operating systems will also focus on the humanization and intelligence of platforms. Suggestions on the detection system are put forward from three aspects, namely, real-time monitoring of the operation line, accurate detection of depot entry, and information-based data platforms. Future development should emphasize simple devices, accurate algorithms, and intelligent operation. 3 tabs, 22 figs, 79 refs.

     

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