Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network

En quan Fang; Jie Qin; Li li Geng; Xiang Li; Zhipeng Wang

doi:10.1007/978-981-15-2866-8_61

Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network

En quan Fang^*
, Jie Qin
, Li li Geng
, Xiang Li
, Zhipeng Wang

^*Corresponding author for this work

Guangzhou Metro Group Co. LTD
Guangzhou Auto-Transport Measure & Control Technology Ltd.
Beijing Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Online measurement system of train wheelset profile can automatically measure the wheelset size of all trains passing through the detection zone and timely pre-alarm the oversized wheelset to ensure the safe and smooth operation of the train. In this paper, the main technologies of wheelset size online detection at home and abroad are retrieved, and the problems are analyzed, such as data accuracy is difficult to maintain for a long time, the detection index is imperfect, and the dynamic and static calibration of the system has different in practical applications. Also through analyzing the main sources of detection error from the detection principle and application conditions, expounding the influence of radial runout, and axial displacement on measurement results emphatically, a parameter tracing method based on neural network is proposed and key calibration steps and engineering application examples are also given.

Original language	English
Title of host publication	Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Rail Transportation System Safety and Maintenance Technologies
Editors	Yong Qin, Limin Jia, Baoming Liu, Zhigang Liu, Lijun Diao, Min An
Publisher	Springer
Pages	639-650
Number of pages	12
ISBN (Print)	9789811528651
DOIs	https://doi.org/10.1007/978-981-15-2866-8_61
State	Published - 2020
Externally published	Yes
Event	4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Qingdao, China Duration: 25 Oct 2019 → 27 Oct 2019

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	639
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019
Country/Territory	China
City	Qingdao
Period	25/10/19 → 27/10/19

Keywords

Neural network
Online measurement
Parameter correction
Wheelset profile

Access to Document

10.1007/978-981-15-2866-8_61

Cite this

Fang, E. Q., Qin, J., Geng, L. L., Li, X., & Wang, Z. (2020). Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network. In Y. Qin, L. Jia, B. Liu, Z. Liu, L. Diao, & M. An (Eds.), Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Rail Transportation System Safety and Maintenance Technologies (pp. 639-650). (Lecture Notes in Electrical Engineering; Vol. 639). Springer. https://doi.org/10.1007/978-981-15-2866-8_61

Fang, En quan ; Qin, Jie ; Geng, Li li et al. / Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network. Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Rail Transportation System Safety and Maintenance Technologies. editor / Yong Qin ; Limin Jia ; Baoming Liu ; Zhigang Liu ; Lijun Diao ; Min An. Springer, 2020. pp. 639-650 (Lecture Notes in Electrical Engineering).

@inproceedings{cf78692230a34bd997507d2342942461,

title = "Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network",

abstract = "Online measurement system of train wheelset profile can automatically measure the wheelset size of all trains passing through the detection zone and timely pre-alarm the oversized wheelset to ensure the safe and smooth operation of the train. In this paper, the main technologies of wheelset size online detection at home and abroad are retrieved, and the problems are analyzed, such as data accuracy is difficult to maintain for a long time, the detection index is imperfect, and the dynamic and static calibration of the system has different in practical applications. Also through analyzing the main sources of detection error from the detection principle and application conditions, expounding the influence of radial runout, and axial displacement on measurement results emphatically, a parameter tracing method based on neural network is proposed and key calibration steps and engineering application examples are also given.",

keywords = "Neural network, Online measurement, Parameter correction, Wheelset profile",

author = "Fang, \{En quan\} and Jie Qin and Geng, \{Li li\} and Xiang Li and Zhipeng Wang",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2020.; 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 ; Conference date: 25-10-2019 Through 27-10-2019",

year = "2020",

doi = "10.1007/978-981-15-2866-8\_61",

language = "英语",

isbn = "9789811528651",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer",

pages = "639--650",

editor = "Yong Qin and Limin Jia and Baoming Liu and Zhigang Liu and Lijun Diao and Min An",

booktitle = "Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Rail Transportation System Safety and Maintenance Technologies",

address = "德国",

}

Fang, EQ, Qin, J, Geng, LL, Li, X & Wang, Z 2020, Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network. in Y Qin, L Jia, B Liu, Z Liu, L Diao & M An (eds), Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Rail Transportation System Safety and Maintenance Technologies. Lecture Notes in Electrical Engineering, vol. 639, Springer, pp. 639-650, 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019, Qingdao, China, 25/10/19. https://doi.org/10.1007/978-981-15-2866-8_61

Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network. / Fang, En quan; Qin, Jie; Geng, Li li et al.
Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Rail Transportation System Safety and Maintenance Technologies. ed. / Yong Qin; Limin Jia; Baoming Liu; Zhigang Liu; Lijun Diao; Min An. Springer, 2020. p. 639-650 (Lecture Notes in Electrical Engineering; Vol. 639).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network

AU - Fang, En quan

AU - Qin, Jie

AU - Geng, Li li

AU - Li, Xiang

AU - Wang, Zhipeng

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2020.

PY - 2020

Y1 - 2020

N2 - Online measurement system of train wheelset profile can automatically measure the wheelset size of all trains passing through the detection zone and timely pre-alarm the oversized wheelset to ensure the safe and smooth operation of the train. In this paper, the main technologies of wheelset size online detection at home and abroad are retrieved, and the problems are analyzed, such as data accuracy is difficult to maintain for a long time, the detection index is imperfect, and the dynamic and static calibration of the system has different in practical applications. Also through analyzing the main sources of detection error from the detection principle and application conditions, expounding the influence of radial runout, and axial displacement on measurement results emphatically, a parameter tracing method based on neural network is proposed and key calibration steps and engineering application examples are also given.

AB - Online measurement system of train wheelset profile can automatically measure the wheelset size of all trains passing through the detection zone and timely pre-alarm the oversized wheelset to ensure the safe and smooth operation of the train. In this paper, the main technologies of wheelset size online detection at home and abroad are retrieved, and the problems are analyzed, such as data accuracy is difficult to maintain for a long time, the detection index is imperfect, and the dynamic and static calibration of the system has different in practical applications. Also through analyzing the main sources of detection error from the detection principle and application conditions, expounding the influence of radial runout, and axial displacement on measurement results emphatically, a parameter tracing method based on neural network is proposed and key calibration steps and engineering application examples are also given.

KW - Neural network

KW - Online measurement

KW - Parameter correction

KW - Wheelset profile

UR - https://www.scopus.com/pages/publications/85085736362

U2 - 10.1007/978-981-15-2866-8_61

DO - 10.1007/978-981-15-2866-8_61

M3 - 会议稿件

AN - SCOPUS:85085736362

SN - 9789811528651

T3 - Lecture Notes in Electrical Engineering

SP - 639

EP - 650

BT - Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Rail Transportation System Safety and Maintenance Technologies

A2 - Qin, Yong

A2 - Jia, Limin

A2 - Liu, Baoming

A2 - Liu, Zhigang

A2 - Diao, Lijun

A2 - An, Min

PB - Springer

T2 - 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019

Y2 - 25 October 2019 through 27 October 2019

ER -

Fang EQ, Qin J, Geng LL, Li X, Wang Z. Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network. In Qin Y, Jia L, Liu B, Liu Z, Diao L, An M, editors, Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019 - Rail Transportation System Safety and Maintenance Technologies. Springer. 2020. p. 639-650. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-15-2866-8_61

Traceable Correction Method for the Online Measurement System of Train Wheelset Profile Based on Neural Network

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Keywords

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