journal article·2023-12-09Open access

A Digitalization Algorithm Based on the Voltage Waveform of the Multifunction Vehicle Bus

Yangtao Li, Haiquan Liang, Xiaodong Tan

Applied Sciences· Volume 13· Issue 24

Abstract

The MVB is a kind of widely used vehicle-level bus, which is crucial for the normal operation of trains. However, the MVB bus contains device node terminals and the topology is complex, which makes fault location difficult. The voltage waveform of the MVB physical layer can reflect the electrical characteristics and fault characteristics of a network in real time and has the value of assisting the diagnosis of MVB network faults. Based on the characteristics of the MVB physical-layer voltage waveform, this paper studies the optimal sampling rate and feature-extraction algorithm of the MVB voltage waveform and the combination of the data of the data-link layer to assign accurate timestamps to waveform data, and finally presents a design for an MVB dual-mode data-acquisition platform with multiple sampling rates/test conditions. Experimental results show that the proposed algorithm can accurately extract waveform feature information under the optimal sampling rate of 62.5 MHz, which makes the collection of MVB voltage waveform data more reliable and practical.
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Research context

OpenAlex topics: Software System Performance and Reliability · Advanced Data Processing Techniques · Engineering and Test Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory for Traction and Control System of EMU and Locomotive, China Academy of Railway Sciences Corporation Limited, Beijing 100191, China

Institute of Rail Transit, Tongji University, Shanghai 200092, China

Funding

State Key Laboratory for Traction and Control System of EMU and Locomotive

References (16)

Show source-provided references
1. Feng, J.H., Lu, X.Y., Yang, W.F., and Tang, J. (2015, January 28–30). Survey of Development and Application of Train Communication Network. Proceedings of the International Conference on Electrical and Information Technologies for Rail Transportation—Electrical Traction, China Electrotechn Soc, Elect Equipment Technol Comm Rail Transportat, Zhuzhou, China.
2. Güldiken, M.C., Schmidt, E.G., and Schmidt, K.W. (2020, January 7–10). Telegram Scheduling for the Multifunction Vehicle Bus (MVB): Algorithms and Evaluation. Proceedings of the 25th IEEE Symposium on Computers and Communications (ISCC), Rennes, France.
3. Guldiken, M., Schmidt, E.G., and Schmidt, K.W. (2020, January 5–7). Heuristic Algorithms for the Telegram Scheduling on MVB. Proceedings of the 28th Signal Processing and Communications Applications Conference (SIU), Gaziantep, Turkey.10.1109/SIU49456.2020.9302075 ↗
4. (2012). Electronic Railway Equipment—Train Communication Network (TCN)—Part 3-1: Multifunction Vehicle Bus (MVB) (Standard No. IEC 61375-3-1:2012).
5. Chen, H.R., and Qian, C.Y. (2020, January 20–22). Research on Functional Safety of Multifunction Vehicle Bus in Rail Transit. Proceedings of the IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS), Dalian, China.10.1109/ICAIIS49377.2020.9194933 ↗
6. Formal Modeling and Verification for MVB10.1155/2013/470139 ↗
7. Health Evaluation of MVB Based on SVDD and Sample Reduction10.1109/ACCESS.2019.2904600 ↗
8. Formal Design of Multi-Function Vehicle Bus Controller10.1109/TITS.2021.3078372 ↗
9. Hua, Z.J., Huang, F.C., Shen, J., and Chen, Z. (2015, January 23–25). An MVB Signal Capturer Based on Microcontrollers for Metro Train On-line Health Monitoring System. Proceedings of the 6th IEEE International Conference on Software Engineering and Service Science (ICSESS), China Hall Sci & Technol, Beijing, China.
10. Anomaly Detection Method for MVB Network Based on Variational Autoencoder
11. Intermittent Connection Fault Location of MVB
12. Fault Diagnosis Method Based on Deep Active Learning for MVB Network
13. Fault diagnosis of the train communication network based on weighted support vector machine10.1002/tee.23153 ↗
14. Li, Z., Wang, L., Shen, P., Song, H., and Du, X. (2020). Lecture Notes in Electrical Engineering, Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019, Qingdao, China, 25–27 October 2019, Springer.
15. A Method of Fault Diagnosis and Location for Train MVB Communication Network
16. Terminating fault diagnosis of MVB based on MKLSVM