Inference under random maintenance policies with a polynomial form as the repair alert function. Issue 7 (2nd May 2016)

• Record Type: Journal Article
• Authors: Atlekhani, Mohammad; Doostparast, Mahdi
• Is Part Of: Journal of statistical computation and simulation. Volume 86:Issue 7(2016)
• Page Start: 1415
• Page End: 1429
• Publication Date: 2016-05-02
• Subjects: estimation -- lifetimes -- preventive maintenance -- random sign censoring -- repair alert models; 62F10 -- 62N05 -- 90B25; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5028505
• DOI: 10.1080/00949655.2015.1066374
• Languages: English
• ISSNs: 0094-9655

Abstract

Abstract : This paper deals with random sign-censoring data (RSCD) which may be observed under repair alert models (RAMs) for implementing age-dependent maintenance policies on engineering devices. A general family for lifetime distributions of devices is considered and estimates of parameters are derived on the basis of RSCD via the likelihood and the Bayesian approaches. In recent literature, the cumulative repair alert function (CRAF), denoted by G ( t ), of the RAMs is considered proportional to the cumulative hazard rate function of the device lifetime. This paper also suggests a polynomial form for the CRAF G ( t ) for modelling purposed. A comparison between the two kinds of CRAFs under the RAMs is given for a real data set from Mendenhall and Hader [Estimation of parameters of mixed exponentially distributed failure time distributions from censored life test data. Biometrika. 1958;45:504–520] The data are times to failure for a type of communication transmitter-receivers of a single commercial airline. Some special cases including exponential, Weibull and Pareto distributions are studied in a great detail.