Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Transient Overvoltage Analysis of Traction Power Supply System with Neutral Sections in China High-Speed Railway Using a State-Space Model Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Optimization of Wheel Re-profiling Strategy Based on a Statistical Wear Model

Authors : Bingkui Li, Zhi Yang, Zongyi Xing, Xudong Gao

Published in: Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Aiming at improving the current unreasonable wheelset re-profiling schedule caused by class-lathing, this paper proposes a re-profiling strategy based on historical wear data. First, the statistical product and service solutions (SPSS) software is used to analyze the interdependency between wheel diameter wear and wheel flange thickness based on the wheel wear data of Guangzhou Metro Line 8. Second, flange thickness wear model based on state transition and wheel diameter wear model based on mathematical statistics are built, and single-stage and multistage planned turns strategies of an individual wheel are built on the two models. Finally, Monte Carlo simulation is used to compare two strategies, and the results show that multistage planned turns strategies can prolong expected life of wheels and effectively save operating cost.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter Study on Fault Diagnosis for Bearing Based on VMD-SVD and Extreme Learning Machine
next chapter Research on Bearing Fault Diagnosis Based on Cyclic Statistics
Literature
1.
Ansari M, Hazrati IA, Esmailzadeh E et al (2008) Wear rate estimation of train wheels using dynamic simulations and field measurements. Veh Syst Dyn 46(8):739–759CrossRef
2.
De Arizon J, Verlinden O, Dehombreux P (2007) Prediction of wheel wear in urban railway transport: comparison of existing models. Veh Syst Dyn 45(9):849–866CrossRef
3.
Huang Y (2012) Wear law analysis of Wuhan-Guangzhou train line. Gansu Sci Technol 28(18):48–49 (in Chinese)
4.
Diao X, Zhu S, Dong X (2013) WuGuang lines EMU’s wheel wear and vibration performance tracking and research. Railway Locomotive Car 02:1–6 (in Chinese)
5.
Chien TV, Li F, Qi Z, Ding J (2015) Processing method of locomotive wheel wear statistical data and prediction model of turning period. J China Railway Soc Railway Eng 12:14–19 (in Chinese)
6.
Sun X (2016) Economic analysis of wheel lathing in metro vehicles. Urban Mass Transit 19(5):91–92 (in Chinese)
7.
Xu H, Yuan H, Wang L et al (2010) Modeling of metro wheel wear and optimization of the wheel re-profiling strategy based on gaussian processes. J Mech Eng 46(24):88–95 (in Chinese)CrossRef
8.
Wang L, Yuan H, Na W et al (2011) Optimization of the re-profiling strategy and remaining useful life prediction of wheels based on a data-driven wear model. Syst Eng Theory Practice 31(6):1143–1152 (in Chinese)
9.
Wang Z (2013) Study on the model of the re-profiling strategy optimization about the whole wheelset wearing electric multiple unit. Chengdu: Southwest Jiaotong University (in Chinese)
10.
Pang S (2016) Research on wheel maintenance strategy of CRH2 EMU. Beijing Jiaotong University, Beijing (in Chinese)
11.
Zhao W (2014) Prediction of metro wheel wear and optimization of the wheel re-profiling strategy. Hangzhou: China Jiliang University (in Chinese)
Metadata
Title
Optimization of Wheel Re-profiling Strategy Based on a Statistical Wear Model
Authors
Bingkui Li
Zhi Yang
Zongyi Xing
Xudong Gao
Copyright Year
2018
Publisher
Springer Singapore
Book
Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017

Print ISBN: 978-981-10-7988-7

Electronic ISBN: 978-981-10-7989-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7989-4_10

Premium Partner

    Image Credits