International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Reliability Analysis and Lifetime Prediction Using Weibull Method on Critical Components of Railway Braking System with Air Brake System

Abstract

Train is the main means of land transportation used almost all over the world, including Indonesia. This means of transportation has multiple comparative advantages, is low in pollution, saves land and energy, and is mass in nature. The train is currently a means of transportation that is in great demand by the public. When compared to other means of transportation, trains are considered to be more economical, orderly and safe. One of the most important factors in driving safety is the need for effective brakes. Namely brakes that can be operated to slow down or stop a vehicle with the shortest possible braking distance under various travel conditions for a short period of time without compromising the stability of the vehicle. Most of the trains in the world are equipped with a braking system that uses compressed air as a force to push the blocks to the wheels or the bearings to the discs, also known as an air brake system. The braking system on the train is very important, therefore proper maintenance is needed. With the aim of increasing reliability, proper maintenance systems are needed to minimize downtime. Weibull is an appropriate method to determine which includes critical and non-critical parts and is often used in determining the level of failure or damage from the data pattern formed. The results obtained from testing 1 unit of the Air Brake System using the Weibull Method have the same 4 critical components, namely the Brake Cylinder, Brake Coupling, Isolating Cock, Distributor Valve. MTTF values of Brake Cylinder, Brake Coupling, Isolating Cock, Distributor Valve are 285 hours, 405 hours, 589 hours, 835 hours. The reliability values of Brake Cylinder, Brake Coupling, Isolating Cock, Distributor Valve are 43%, 41%, 49%, and 46%, respectively. Periodic Maintenance obtained based on the hour meter (HM) of each Air Brake System.

Country : Indonesia

1 Sulistyo2 Nazaruddin Sinaga3 Gunawan Dwi Haryadi4 Dwi Basuki Wibowo

  1. Mechanical Engineering Department, Faculty of Engineering, Diponegoro University, Indonesia
  2. Mechanical Engineering Department, Faculty of Engineering, Diponegoro University, Indonesia
  3. Mechanical Engineering Department, Faculty of Engineering, Diponegoro University, Indonesia
  4. Mechanical Engineering Department, Faculty of Engineering, Diponegoro University, Indonesia

IRJIET, Volume 6, Issue 6, June 2022 pp. 51-58

doi.org/10.47001/IRJIET/2022.606007

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References

  1. Ardian, A. (2010). Machine Maintenance and Repair. Ministry of National Education Yogyakarta University Mechanical Engineering, December, 1–77.
  2. Chu, YK, & Ke, J.-C. (2011). Mathematical and Computational Applications,. 16(3), 702–711. [4]             JJ Kim and JD Lee, Cor. J. Met. mater. 46, 809 (2008).
  3. Chien-Yu Peng. (2014) Reliability Analysis Using MiniTab. Institute of Statistical Science, Academia Sinica.
  4. Ebeling, CE (1997). Intro to Reliability & Maintainability Engineering (p. 486).
  5. Gio, PU, ​​& rosmaini, elly. (2018). Learn to Process Data with SPSS, MINITAB, R, MICROSOFT EXCEL, EVIEWS, LISREL, AMOS, and SMARTPLS. https://doi.org/10.31227/osf.io/2z79c
  6. Hidayat, R., Ansori, N., & Imron, A. (2010). Planning for Maintenance Activities Using the Reability Centered Maintenance (Rcm) Method II. MACARA of Technology Series, 14(1), 7–14. https://doi.org/10.7454/mst.v14i1.443
  7. Kurniawan, H. (2016). No Title️ ️. 111. http://library1.nida.ac.th/termpaper6/sd/2554/19755.pdf
  8. Liao, M., & Shimokawa, T. (1999). A new goodness-of-fit test for Type-I extreme-value and 2-parameter Weibull distributions with estimated parameters. Journal of Statistical Computation and Simulation, 64(1), 23–48.https://doi.org/10.1080/00949659908811965
  9. Mekonnen, Y., Aburbu, H., & Sarwat, A. (2018). Life cycle prediction of Sealed Lead Acid batteries based on a Weibull model. Journal of Energy Storage, 18(March), 467–475. https://doi.org/10.1016/j.est.2018.06.05
  10. Nugroho, A., Haryadi, GD, Ismail, R., & Kim, SJ (2016). Risk based inspection for atmospheric storage tanks. AIP Conference Proceedings, 1725. https://doi.org/10.1063/1.4945509
  11. Peng, C.-Y. (2014). Part II Reliability Analysis. 2010.
  12. R. Hoffmann.(2016). Towards the Automated Verification of Weibull Distributions for System Failure Rates. Conference Papers. University of St Andrews.
  13. S. Pandi, H. Santosa, JM (2014). Design of Preventive Maintenance on Corrugating Machines and Messin FLEXO at PT. Surindo Teguh Gemilang. Scientific Journal of Widya Teknik, 13(1), 54–57.
  14. Subbarao, B., Ramjee, DE, Devaiah, DM and Prasad, DTS, 2017. Investigation into Flow Field of Hydraulic Axial Pump Impeller. International Journal of Engineering and Manufacturing Science, 7(2), pp.309-318.
  15. Tupan, JM, Camerling, BJ, & Amin, M. (2019). DETERMINATION OF CRITICAL COMPONENT MAINTENANCE SCHEDULE ON MTU 12V2000G65 MACHINE AT DISTRIBUTED PLTD PT PLN (PERSERO) TUAL AREA (Case Study: PLTD Wonreli). Arika, 13(1), 33–48. https://doi.org/10.30598/arika.2019.13.1.33
  16. Wahyuningtyas, N., & Suryanto, H. (2017). Analysis of Biodegradation of Bioplastics Made of Cassava Starch. Journal of Mechanical Engineering Science and Technology, 1(1), 24–31. https://doi.org/10.17977/um016v1i12017p024
  17. Zhang, DZ, & Prosperetti, A. (1994). Ensemble phase-averaged equations for bubbly flows. Physics of Fluids. https://doi.org/10.1063/1.868122

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