Decision Making Reliability Approach for Maintainability of Economizer of Coal Based Boiler

Jump To References Section

Authors

  • Assistant General Manager, BPSCL (A Joint Venture Company of SAIL & DVC), Bokaro – 827001 ,IN
  • B. Tech Students, Department of Mechanical Engineering, Manipal University Jaipur – 303007, Rajasthan ,IN
  • B. Tech Students, Department of Mechanical Engineering, Manipal University Jaipur – 303007, Rajasthan ,IN

DOI:

https://doi.org/10.18311/jmmf/2023/35444

Keywords:

Critical Subsystems, Lognormal, Maintainability, Reliability, Trend Analysis, Weibull

Abstract

This paper investigates the maintainability of economizers of three coal-based boilers for making decision of selection of replacement or maintenance practices. A sudden failure in the economizer can result huge production loss hence, a suitable decision model is essential which provides a strong data base for making optimal decision. A practical model for making decision is developed with respect to failure/repair data of three different economizers and trend with serial correlation tests are conducted. An investigation is carried out to determine the idealized statistical probability distribution providing best fit distribution. Further their Reliability and Maintainability are calculated. The tests of trend and serial correlation show very fast increasing failure rate of economizer # 1&2 with respect to economizer # 3. The present paper highlights that the failure data of economizer # 1 and economizer # 2 follow the NHPP model with poor reliability condition which indicates that these economizers should be replaced to restore boiler system as new as. However, failure data of economizer #3 follows the Lognormal distribution with poor reliability condition which suggests to develop the Preventive Maintenance Interval (PMI) to restore the boiler system. The present model serves a strong ground to decide replacement/preventive maintenance policy for not only to economizers but also to any pressure parts of coal based boilers.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2023-11-02

How to Cite

Gupta, G. K., Kashyap, A., & Singh, H. (2023). Decision Making Reliability Approach for Maintainability of Economizer of Coal Based Boiler. Journal of Mines, Metals and Fuels, 71(9), 1250–1261. https://doi.org/10.18311/jmmf/2023/35444

 

References

Ahsen A. Cost oriented failure mode and effect analysis. Int. J. Qual. Reliab. Manag. 2008; 25:466-76. https://doi.org/10.1108/02656710810873871 DOI: https://doi.org/10.1108/02656710810873871

Debasis Das A., Goutam Kumar B., Dipankar B, Souren M. Semiparametric Reliability Model in the Failure Analysis of a Coal-Fired Boiler Used in a Thermal Power Plant-A Case Study. Qual. Eng. 2015; 27(3):353-60. https://doi. org/10.1080/08982112.2015.1037395 DOI: https://doi.org/10.1080/08982112.2015.1037395

Debasis Das A., Goutam Kumar B., Dipankar B, Souren M. Availability and cost-centered preventive maintenance scheduling of continuous operating series systems using multi-objective genetic algorithm: A case study. Qual. Eng. 2016; 28(3):352-57. https://doi.org/10.1080/ 08982112.2015.1086001 DOI: https://doi.org/10.1080/08982112.2015.1086001

Arora N, Kumar D. Availability analysis of Steam and Power Generation Systems in the Thermal Power Plant. Microelectron. Reliab.1997; 37(5):795-99. https://doi. org/10.1016/0026-2714(95)00115-8 DOI: https://doi.org/10.1016/0026-2714(95)00115-8

Arora N, Kumar D. Stochastic analysis and maintenance planning of the ash handling system in the thermal power plant. Microelectron. Reliab.1997; 37(5):819-24. https://doi.org/10.1016/S0026-2714(96)00135-7 DOI: https://doi.org/10.1016/S0026-2714(96)00135-7

Barabady J. Reliability and maintainability analysis of crushing plants in Jajarm bauxite mine of Iran. Proceedings of the Annual Reliability and Maintain Ability Symposium, USA. 2005; pp. 109-15.

Barata J, Guedes Soares C, Marseguerra M, Zio E. Simulation modelling of repairable multi-component deteriorating systems for ‘on condition’ maintenance optimisation. Reliab. Eng. Syst. Saf. 2002; 76(3):255-64. https://doi.org/10.1016/S0951-8320(02)00017-0 DOI: https://doi.org/10.1016/S0951-8320(02)00017-0

Bengt Klefsjö, Ulf Westberg. TTT plotting and maintenance policies. Qual. Eng. 1996; 9(2): 229-35. https://doi.org/10.1080/08982119608919039 DOI: https://doi.org/10.1080/08982119608919039

Bouvard K, Artus S, Bérenguer C, Cocquempot V. Condition-based dynamic maintenance operations planning & grouping. Reliab. Eng. Syst. Saf. 2011; 96(6):601-10. https://doi.org/10.1016/j.ress.2010.11.009 DOI: https://doi.org/10.1016/j.ress.2010.11.009

Braglia M, Bevilacqua M. Fuzzy modelling and analytical hierarchy processing as a means of quantifying risk levels associated with failure modes in production system. Tech. 2000; 5:125-34. https://doi.org/10.1080/135993700750364341 DOI: https://doi.org/10.1080/135993700750364341

Coffin K. Evaluating customer support during new product development: an explorative study. Int J Oper Prod Manage. 1998; 21(3):221-2.

Certa A, Hopps F, Inghilleri R, La Fata CM. A dempster-shafer theory-based approach to the failure mode, effects and criticality analysis (FMECA) under epistemic uncertainty: application to the propulsion system of a fishing vessel. Reliab. Eng. Syst. Saf. 2017; 159:69-79. https://doi.org/10.1016/j.ress.2016.10.018 DOI: https://doi.org/10.1016/j.ress.2016.10.018

Dhillon BS. Mining equipment reliability, maintainability, and safety. Springer, London, UK. (2008); pp. 146-66. https://doi.org/10.1007/978-1-84800-288-3 DOI: https://doi.org/10.1007/978-1-84800-288-3

Ebeling Charles E. An introduction to reliability and maintainability engineering. Mcgraw Hill Education (India) Edition. 2000.

Escobar LA, Meeker WQ. Statistical prediction based on censored life data. Technometrics. 1999; 41:113-24. https://doi.org/10.1080/00401706.1999.10485632 DOI: https://doi.org/10.1080/00401706.1999.10485632

Faiella GF, Parand A, Franklin BD, Chana P, Cesarelli M, Stanton NA, et al. Expanding healthcare failure mode and effect analysis: a composite proactive risk analysis approach. Reliab. Eng. Syst. Saf. 2018; 169:117-26. https://doi.org/10.1016/j.ress.2017.08.003 DOI: https://doi.org/10.1016/j.ress.2017.08.003

Gavin HP, Yau SC. High-order limit state functions in the response surface method for structural reliability analysis. Struct. Saf. 2008; 30(10):162-79. https://doi. org/10.1016/j.strusafe.2006.10.003 DOI: https://doi.org/10.1016/j.strusafe.2006.10.003