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Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT)

Year 2022, Volume 7, Issue 4, 83 - 89, 05.09.2022
https://doi.org/10.19072/ijet.937150

Abstract

Operation delays and trip cancelations affect the reliability of the operation and customer’s satisfaction. This review work adopts a case study of AALRTS operation system employing operation data and incident records of AALRTS. The purpose of this paper is assessing the failures frequency and the time it takes to get back to its operation aiming that how sensitive it is for the reliability of the operation. An extensive literature review has been used to approach the problem in which the sensitive failures analysis methods have been identified. The method that has been used to investigate the failure's magnitude was sensitivity failure analysis by considering the case study of AALRTS. The method has been implemented to identify different failure modes through the analysis of the case how sensitive the failures are to the normal operation. The results that have been discovered from the analysis are: - the safety incidents and equipment failures are the major groups that affect the normal operation of AALRTS. When we go to the depth level-crossing incidents and power outages are the major sensitive failures (from safety incidents and equipment failures) that can reduce the reliability of the operation dramatically. Finally the researcher would like to recommend that giving a due attention for those sensitive failures might improve the reliability of the railway operation.

References

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  • Railway Safety Regulator (RSR). State of Safety Report. (2014).
  • UK RAIB. Guidance on the Railways (Accident Investigation and Reporting) Regulations 2005. Communities 0–101 (2005).
  • Holmgren, M. Maintenance-Related Incidents and Accidents. Pure.Ltu.Se (2006).
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  • Ortiz, D., Weatherford, B., Greenberg, M. & Ecola, L. Improving the Safety and Security of Freight and Passenger Rail in Pennsylvania. Improv. Saf. Secur. Freight Passeng. Rail Pennsylvania (2018).
  • Hassankiadeh, S. J. Failure Analysis of Railway Switches and Crossings for the purpose of Preventive Maintenance. 1–79 (2011).
  • Muttram, R. I. UK Railway Restructuring and the Impact on the Safety Performance of Heavy Rail Network. Japan Railw. Transp. Rev. 34, 4–11 (2003).
  • Ma, Q. Condition-Based Maintenance Applied to Rail Freight Car Components-The Case of Rail Car Trucks. (1997).
  • Carretero, J. et al. Applying RCM in large scale systems: A case study with railway networks. Reliab. Eng. Syst. Saf. 82, 257–273 (2003).
  • Xu, P., Corman, F. & Peng, Q. Analyzing Railway Disruptions and Their Impact on Delayed Traffic in Chinese High-Speed Railway. IFAC-PapersOnLine 49, 84–89 (2016).
  • Bemment, S. D., Goodall, R. M., Dixon, R. & Ward, C. P. Improving the reliability and availability of railway track switching by analysing historical failure data and introducing functionally redundant subsystems. Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit 232, 1407–1424 (2018).
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  • Kassa, E. & Gebretsadik, D. Analysis of failures within railway switches and crossings using failure modes and effects analysis methodology. Civil-Comp Proc. 110, 28–30 (2016).
  • Bowtell, M., King, M. & Pain, M. Analysis of the keeper-dependent strategy in the soccer penalty kick. Int. J. Sport. Sci. Engeneering2 3, 93–102 (2009).
  • Van Weyenberge, B., Deckers, X., Caspeele, R. & Merci, B. Development of a Risk Assessment Method for Life Safety in Case of Fire in Rail Tunnels. Fire Technol. 52, 1465–1479 (2016).
  • Bigoni, D., True, H. & Engsig-Karup, A. P. Sensitivity analysis of the critical speed in railway vehicle dynamics. Veh. Syst. Dyn. 52, 272–286 (2014).
  • Dinmohammadi, F., Alkali, B., Shafiee, M., Bérenguer, C. & Labib, A. Risk Evaluation of Railway Rolling Stock Failures Using FMECA Technique: A Case Study of Passenger Door System. Urban Rail Transit 2, 128–145 (2016).
  • Potter, N. T., Hashim, G. A. & Day, E. D. Identification of an antigenic determinant within the phylogenetically conserved triprolyl region of myelin basic protein. J. Immunol. 136, 516–520 (1986).
  • Peng, Z., Lu, Y., Miller, A., Johnson, C. & Zhao, T. Risk Assessment of Railway Transportation Systems using Timed Fault Trees. Qual. Reliab. Eng. Int. 32, 181–194 (2016).
  • Cafiso, S., Di Graziano, A. & Di Blasi, N. Risk assessment on railway transportation of hazardous materials. WIT Trans. Ecol. Environ. 91, 97–106 (2006).
  • Tara, C.-. In connection with the Training on and Financial Analysis”. (2014).
  • Dindar, S., Kaewunruen, S. & Sussman, J. M. Climate Change Adaptation for GeoRisks Mitigation of Railway Turnout Systems. Procedia Eng. 189, 199–206 (2017).
  • Accidents, C. O. F. & Strategies, M. TranSys Research Ltd 682. (2007).
  • Fuggini, C. et al. Innovative Approach in the Use of Geotextiles for Failures Prevention in Railway Embankments. Transp. Res. Procedia 14, 1875–1883 (2016).
  • Zucarelli, T. A., Vieira, M. A., Moreira Filho, L. A., Reis, D. A. P. & Reis, L. Failure analysis in railway wheels. Procedia Struct. Integr. 1, 212–217 (2016).
  • Lukasik, Z., Nowakowski, W., Ciszewski, T. & Freimane, J. A fault diagnostic methodology for railway automatics systems. Procedia Comput. Sci. 149, 159–166 (2019).
  • Liang, C., Ghazel, M. & Cazier, O. Using Bayesian Networks for the Purpose of Risk Analysis at Railway Level Crossings. IFAC-PapersOnLine 51, 142–149 (2018).
  • Kyriakidis, M., Majumdar, A. & Ochieng, W. Y. Data based framework to identify the most significant performance shaping factors in railway operations. Saf. Sci. 78, 60–76 (2015).
  • Panchenko, S., Siroklyn, I., Lapko, A., Kameniev, A. & Buss, D. Critical failures of turnouts: expert approach. Procedia Comput. Sci. 149, 422–429 (2019).
  • Jamshidi, A. et al. Probabilistic Defect-Based Risk Assessment Approach for Rail Failures in Railway Infrastructure. IFAC-PapersOnLine 49, 73–77 (2016).
  • Leitner, B. A General Model for Railway Systems Risk Assessment with the Use of Railway Accident Scenarios Analysis. Procedia Eng. 187, 150–159 (2017).
  • Berrado, A. A Framework for Risk Management in Railway Sector: Application to Road-Rail Level Crossings. Open Transp. J. 5, 34–44 (2011).

Year 2022, Volume 7, Issue 4, 83 - 89, 05.09.2022
https://doi.org/10.19072/ijet.937150

Abstract

References

  • The Stationery Office. Operational guidance Railway Incidents. (2012).
  • Railway Safety Regulator (RSR). State of Safety Report. (2014).
  • UK RAIB. Guidance on the Railways (Accident Investigation and Reporting) Regulations 2005. Communities 0–101 (2005).
  • Holmgren, M. Maintenance-Related Incidents and Accidents. Pure.Ltu.Se (2006).
  • Kyriakidis, M., Hirsch, R. & Majumdar, A. Metro railway safety: An analysis of accident precursors. Saf. Sci. 50, 1535–1548 (2012).
  • Ortiz, D., Weatherford, B., Greenberg, M. & Ecola, L. Improving the Safety and Security of Freight and Passenger Rail in Pennsylvania. Improv. Saf. Secur. Freight Passeng. Rail Pennsylvania (2018).
  • Hassankiadeh, S. J. Failure Analysis of Railway Switches and Crossings for the purpose of Preventive Maintenance. 1–79 (2011).
  • Muttram, R. I. UK Railway Restructuring and the Impact on the Safety Performance of Heavy Rail Network. Japan Railw. Transp. Rev. 34, 4–11 (2003).
  • Ma, Q. Condition-Based Maintenance Applied to Rail Freight Car Components-The Case of Rail Car Trucks. (1997).
  • Carretero, J. et al. Applying RCM in large scale systems: A case study with railway networks. Reliab. Eng. Syst. Saf. 82, 257–273 (2003).
  • Xu, P., Corman, F. & Peng, Q. Analyzing Railway Disruptions and Their Impact on Delayed Traffic in Chinese High-Speed Railway. IFAC-PapersOnLine 49, 84–89 (2016).
  • Bemment, S. D., Goodall, R. M., Dixon, R. & Ward, C. P. Improving the reliability and availability of railway track switching by analysing historical failure data and introducing functionally redundant subsystems. Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit 232, 1407–1424 (2018).
  • Kumar, S., Espling, U. & Kumar, U. Holistic procedure for rail maintenance in Sweden. Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit 222, 331–344 (2008).
  • Kassa, E. & Gebretsadik, D. Analysis of failures within railway switches and crossings using failure modes and effects analysis methodology. Civil-Comp Proc. 110, 28–30 (2016).
  • Bowtell, M., King, M. & Pain, M. Analysis of the keeper-dependent strategy in the soccer penalty kick. Int. J. Sport. Sci. Engeneering2 3, 93–102 (2009).
  • Van Weyenberge, B., Deckers, X., Caspeele, R. & Merci, B. Development of a Risk Assessment Method for Life Safety in Case of Fire in Rail Tunnels. Fire Technol. 52, 1465–1479 (2016).
  • Bigoni, D., True, H. & Engsig-Karup, A. P. Sensitivity analysis of the critical speed in railway vehicle dynamics. Veh. Syst. Dyn. 52, 272–286 (2014).
  • Dinmohammadi, F., Alkali, B., Shafiee, M., Bérenguer, C. & Labib, A. Risk Evaluation of Railway Rolling Stock Failures Using FMECA Technique: A Case Study of Passenger Door System. Urban Rail Transit 2, 128–145 (2016).
  • Potter, N. T., Hashim, G. A. & Day, E. D. Identification of an antigenic determinant within the phylogenetically conserved triprolyl region of myelin basic protein. J. Immunol. 136, 516–520 (1986).
  • Peng, Z., Lu, Y., Miller, A., Johnson, C. & Zhao, T. Risk Assessment of Railway Transportation Systems using Timed Fault Trees. Qual. Reliab. Eng. Int. 32, 181–194 (2016).
  • Cafiso, S., Di Graziano, A. & Di Blasi, N. Risk assessment on railway transportation of hazardous materials. WIT Trans. Ecol. Environ. 91, 97–106 (2006).
  • Tara, C.-. In connection with the Training on and Financial Analysis”. (2014).
  • Dindar, S., Kaewunruen, S. & Sussman, J. M. Climate Change Adaptation for GeoRisks Mitigation of Railway Turnout Systems. Procedia Eng. 189, 199–206 (2017).
  • Accidents, C. O. F. & Strategies, M. TranSys Research Ltd 682. (2007).
  • Fuggini, C. et al. Innovative Approach in the Use of Geotextiles for Failures Prevention in Railway Embankments. Transp. Res. Procedia 14, 1875–1883 (2016).
  • Zucarelli, T. A., Vieira, M. A., Moreira Filho, L. A., Reis, D. A. P. & Reis, L. Failure analysis in railway wheels. Procedia Struct. Integr. 1, 212–217 (2016).
  • Lukasik, Z., Nowakowski, W., Ciszewski, T. & Freimane, J. A fault diagnostic methodology for railway automatics systems. Procedia Comput. Sci. 149, 159–166 (2019).
  • Liang, C., Ghazel, M. & Cazier, O. Using Bayesian Networks for the Purpose of Risk Analysis at Railway Level Crossings. IFAC-PapersOnLine 51, 142–149 (2018).
  • Kyriakidis, M., Majumdar, A. & Ochieng, W. Y. Data based framework to identify the most significant performance shaping factors in railway operations. Saf. Sci. 78, 60–76 (2015).
  • Panchenko, S., Siroklyn, I., Lapko, A., Kameniev, A. & Buss, D. Critical failures of turnouts: expert approach. Procedia Comput. Sci. 149, 422–429 (2019).
  • Jamshidi, A. et al. Probabilistic Defect-Based Risk Assessment Approach for Rail Failures in Railway Infrastructure. IFAC-PapersOnLine 49, 73–77 (2016).
  • Leitner, B. A General Model for Railway Systems Risk Assessment with the Use of Railway Accident Scenarios Analysis. Procedia Eng. 187, 150–159 (2017).
  • Berrado, A. A Framework for Risk Management in Railway Sector: Application to Road-Rail Level Crossings. Open Transp. J. 5, 34–44 (2011).

Details

Primary Language English
Subjects Engineering
Journal Section Makaleler
Authors

Ruhama MİNWUYELET> (Primary Author)
Addis Ababa Institute of Technology, Addis Ababa University
0000-0001-9438-5084
Ethiopia


Daniel TILAHUN>
Addis Ababa Institute of Technology, Addis Ababa University
Ethiopia

Publication Date September 5, 2022
Published in Issue Year 2022, Volume 7, Issue 4

Cite

Bibtex @research article { ijet937150, journal = {International Journal of Engineering Technologies IJET}, issn = {2149-0104}, eissn = {2149-5262}, address = {}, publisher = {İstanbul Gelisim University}, year = {2022}, volume = {7}, number = {4}, pages = {83 - 89}, doi = {10.19072/ijet.937150}, title = {Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT)}, key = {cite}, author = {Minwuyelet, Ruhama and Tılahun, Daniel} }
APA Minwuyelet, R. & Tılahun, D. (2022). Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT) . International Journal of Engineering Technologies IJET , 7 (4) , 83-89 . DOI: 10.19072/ijet.937150
MLA Minwuyelet, R. , Tılahun, D. "Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT)" . International Journal of Engineering Technologies IJET 7 (2022 ): 83-89 <https://dergipark.org.tr/en/pub/ijet/issue/68057/937150>
Chicago Minwuyelet, R. , Tılahun, D. "Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT)". International Journal of Engineering Technologies IJET 7 (2022 ): 83-89
RIS TY - JOUR T1 - Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT) AU - RuhamaMinwuyelet, DanielTılahun Y1 - 2022 PY - 2022 N1 - doi: 10.19072/ijet.937150 DO - 10.19072/ijet.937150 T2 - International Journal of Engineering Technologies IJET JF - Journal JO - JOR SP - 83 EP - 89 VL - 7 IS - 4 SN - 2149-0104-2149-5262 M3 - doi: 10.19072/ijet.937150 UR - https://doi.org/10.19072/ijet.937150 Y2 - 2022 ER -
EndNote %0 International Journal of Engineering Technologies IJET Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT) %A Ruhama Minwuyelet , Daniel Tılahun %T Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT) %D 2022 %J International Journal of Engineering Technologies IJET %P 2149-0104-2149-5262 %V 7 %N 4 %R doi: 10.19072/ijet.937150 %U 10.19072/ijet.937150
ISNAD Minwuyelet, Ruhama , Tılahun, Daniel . "Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT)". International Journal of Engineering Technologies IJET 7 / 4 (September 2022): 83-89 . https://doi.org/10.19072/ijet.937150
AMA Minwuyelet R. , Tılahun D. Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT). IJET. 2022; 7(4): 83-89.
Vancouver Minwuyelet R. , Tılahun D. Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT). International Journal of Engineering Technologies IJET. 2022; 7(4): 83-89.
IEEE R. Minwuyelet and D. Tılahun , "Failure’s Severity Affecting Railway Operation Based on Sensitivity Analysis: A Case Study of Addis Ababa Light Rail Transit (AALRT)", International Journal of Engineering Technologies IJET, vol. 7, no. 4, pp. 83-89, Sep. 2022, doi:10.19072/ijet.937150

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