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Approximation of MTTF calculation of a non-stationary gamma wear process

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Abstract

Gamma distribution is known as the most suitable distribution to model the monotonically increasing wear or deterioration. Examples of wear or deterioration can be found in many of the mechanical components, such as in wear of the bearings, corrosion or erosion wear of pump casings and impellers etc. The component wearing gradually can be considered to have failed when it reaches a pre-specified, optimal wear limit. Calculation of MTTF (mean time to failure or to reach a wear or deterioration limit) is however cumbersome and time consuming as it has to be integrated numerically. The author presents an approximation formula to calculate the MTTF for a gamma wear process with temporal variability which can be easily applied to most of the mechanical components undergoing wear. Error in calculation of MTTF using the theoretical and the approximation formula have been displayed in a graphical form as a ratio of the theoretical MTTF.

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References

  • Abdel Hameed M (2010) A gamma wear process. IEEE Trans Reliab 24(2):152–153

    Google Scholar 

  • Cinlar E, Bazant ZP, Osman E (1977) Stochastic process for extrapolating concrete creep. J Eng Mech Div 103(EM6):1069–1088

    Google Scholar 

  • Ellingwood BR, Mori Y (1993) Probabilistic methods for condition assessment and life prediction of concrete structures in nuclear power plants. Nucl Eng Des 142(2–3):155–166

    Article  Google Scholar 

  • Frangpool DM, Kallen MJ, Van Noortwijk JM (2004) Porbabilistic models for life cycle performance of deteriorating structures: review and future directions. Prog Struct Eng Mater 6(4):197–212

    Article  Google Scholar 

  • Lawless J, Crowder M (2004) Covariates and random effects in a gamma process model with application to degradation and failure. Lifetime Data Anal 103(3):213–227

    Article  MathSciNet  Google Scholar 

  • Pandey MD, Yuan XX (2006) A comparison of probabilistic models of deterioration for life cycle management of structures. Adv Eng Struct Mech Constr Solid Mech Appl 140:735–746

    Article  Google Scholar 

  • Van Noortwijk JM (2007) A survey of the application of gamma process in maintenance. Reliab Eng Syst Saf. doi:10.1016/j.ress.2007.03.019

  • Verma AK, Srividya A, Rana A (2011) Optimal time scheduling for carrying out minor maintenance on a steam turbine. Int J Syst Assur Eng Manag 2(3):241–252

    Article  Google Scholar 

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Correspondence to Anil Rana.

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Verma, A.K., Srividya, A. & Rana, A. Approximation of MTTF calculation of a non-stationary gamma wear process. Int J Syst Assur Eng Manag 2, 282–285 (2011). https://doi.org/10.1007/s13198-011-0079-0

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  • DOI: https://doi.org/10.1007/s13198-011-0079-0

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