Reliability Analysis of A New Life Testing Model
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Abstract
In Present time, the utility of the theory of reliability and lifetesting analysis attracting many workers and theory is well established in engineering and medical sciences. Now, as the area of applicability of life testing is enlarging day by day, the variety of situations and their related data are also growing up. So, it seems not logical that this variety of data can be dealt with only two or three types of the above life testing models. It seems desirable to develop more and more realistic life testing models to deal with the variety of life testing data so that the proper inferences concerning with the reliability and other aspects can be drawn with more precision. It has been observed that in a number of situations the application of the models discussed so far can be made only after imposing a number of assumptions. So, there is a requirement of a relatively larger family of life time models, so that proper justification can be done with the daya analysis. In the present paper, an attempt has been made to develop a new life-testing model to enlarge the family of life testing models.
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References
B.L. Amstader; Reliability Mathematics, McGraw Hill Book Company, Newyork, 1971.
R.E. Borlow and F Proscham; Statistical Theory of Reliability and life testing Probabilistic Models, Holt Rienhart and Winston, Newyork, 1975.
A.P. Basu; Estimates of Reliability for some distribution useful in life testing, Technometrics, 6 (1964), 215-219.
B. Dimitrov, V. Rykov, P. Stanchev; On multistate reliability system, Proceedings MMR-2002 Trondheim, Norway, June 17-21, 2002.
V.T. Farrewell. and R.L. Prentice; A Study of distributional shape in life testing, Technometrics, 19-1 (1977).
A Lisnianski and G Levitin; Multistate system Reliability, World Scientific, 2003.
S.K Sinha.; Reliability and Life Testing; Willey eastern Limited, New Delhi, 1986.
P.W. Srivastava and N Jain; Optimum ramp-stress accelerated life test for m identical repairable system, Applied Mathematical Modelling, 35(12) (2011), 5786-5793.
H Jeong; A Study on the accelerated life test coupled with analysis for life prediction of Product according to wear and damage, Master's thesis; Sogang University Seoul Korea, 2014.
Guanqi Fang et.al.; Inverse Gaussian Processes with correlated Random effects for Multivariate Degradation Modeling, European Journal of Operational Research, (2021).
Xiao-Dongzhou et.al; Data Analysis for accelerated life tests via weibull-gamma frailty regression Models, Applied stochastic Models in business and industry, 39(1) (2023).