Health assessment for railway switch systems

Yao Zhang; Tianhua Xu; Tian Xiao; Hao Xing

doi:10.1051/matecconf/202133602017

All issues

Volume 336 (2021)

MATEC Web Conf., 336 (2021) 02017

References

Open Access

Issue		MATEC Web Conf. Volume 336, 2021 2020 2^nd International Conference on Computer Science Communication and Network Security (CSCNS2020)


Article Number		02017
Number of page(s)		6
Section		Industrial Design and Engineering Technology
DOI		https://doi.org/10.1051/matecconf/202133602017
Published online		15 February 2021

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[1] Z. Wang, J. Chen, T. Tang, T. Xu, and F. Wang, “Research on switch fault detection and health assessment method on SVDD,” Journal of Southwest Jiaotong University, vol.53, pp.842-849.Mar.2018 [Google Scholar]

[2] Y. Peng, D. Liu, and X. Peng, “A review: Prognostics and health management,” Journal of Electronic Measurement and Instrument, vol.24, pp. 1-8.Jan. 2010 [CrossRef] [Google Scholar]

[3] Z. Jia, Z. Zeng, Z. Xu, and X. Guo, “Models for evaluating maintenance support capability of aviation equipment based on PHM,”3rd Prognostics and System Health Management Conference, pp. 1-5. 2012 [Google Scholar]

[4] J. Xu, Y. Lei, B. Liu, C. Ji, and L. Nan, “Application of PHM Technology in the Design of Tank Fire Control,” 9th Prognostics and System Health Management Conference, pp. 249-253, 2018 [Google Scholar]

[5] H. Ardakani, C. Lucas, D. Siegel, S. Chang, P. Dersin, B. Bonnet and J. Lee, “PHM for railway system- A case study on the health assessment of the point machines,” 2012 IEEE Conference on Prognostics and Health Management, pp. 1-8.2012 [Google Scholar]

[6] F. Marquez, D. Tercero, and F. Schmid,”Unobserved Component models applied to the assessment of wear in railway points: A case study,” European Journal of Operational Research, vol.176, pp. 1703-1712, Feb. 2007 [Google Scholar]

[7] C. Letot, P. Dersin, M. Pugnaloni, P. Dehombreux, G. Fleurquin C. Douziech, and P. La-Cascia,”A data-driven degradation-based model for the maintenance of turnouts: a case study,” IFAC-PapersOnLine, vol.48, pp.958-963, 2015 [Google Scholar]

[8] O. Eker, F. Camci, A. Guclu,H. Yilboga, M. Sevkli, and S. Baskan, “A Simple State-Based Prognostics Model for Railway Turnout Systems,” IEEE Transactions on Industrial Electronics, vol.58, pp.1718-1726. May. 2011 [Google Scholar]

[9] O. Eker, and F. Camci, “State-Based Prognostics with State Duration Information,” Quality and Reliability Engineering International, vol. 29, pp. 465-476. Jun.2013 [Google Scholar]

[10] F. Wang, T. Tang, J. Yin, Y. Li, and F. Ren, “A signal segmentation and feature fusion based RUL prediction method for railway point system,” 21st International Conference on Intelligent Transportation Systems(ITSC), pp.2303-2308. Nov.2018 [Google Scholar]