[1]
Rivalino MJ, Pedro A B, Kishor S T. Accelerated degradationtests appliedto software aging experi ments. IEEETrans. on Reliability . (2010).
Google Scholar
[2]
Eghbali G. Reliability esti mate using accelerated degradationdata. . (2000).
Google Scholar
[3]
Peng C Y, Tseng S T. Mis-specification analysis of linear degra-dation models. IEEE Transactions on Reliability . (2009).
Google Scholar
[4]
Whitmore,G. A., Schenkelberg,F. Modelling accelerated degradation data using Wiener diffusion with a scale transformation. Lifetime Data Anal . (1997).
Google Scholar
[5]
Gopikrishnan A. Reliability Inference Based on Degradation and Time to Failure Data: Some Models. Methods and Efficiency Comparisoins. . (2004).
Google Scholar
[6]
Meeker W Q, Escobar L A, Lu J C. Accelerated degradationtests: modeling and analysis. Technometrics . (1998).
Google Scholar
[7]
OWEN W J, PADGETT W J. A Birnbaum-Saunders Ac-celerated Life Model. IEEE Trans. on Rel . (2000).
Google Scholar
[8]
ACHCAR J A. Inferences for the Birnbaum-Saunders Fa-tigue Life Model Using Bayesian Methods. Computational Statistics . (1993).
DOI: 10.1016/0167-9473(93)90170-x
Google Scholar
[9]
ENGELHARDT M, BAIN L J, WRIGHT F T. Inferences on the Parameters of the Birnbaum-Saunders Fatigue Life Distribution Based on Maximum Likelihood Estimation. Technometrics . (1981).
DOI: 10.2307/1267788
Google Scholar
[10]
BIRNBAUM Z W, SAUNDERS S C. A New Family of Life Distribution. Applied Probability . (1969).
Google Scholar
[11]
PADGETT W J. On Bayes Estimation of Reliability for the Birnbaum-Saunders Fatigue Life Model. IEEE Trans. on Rel . (1982).
DOI: 10.1109/tr.1982.5221419
Google Scholar
[12]
Sohrab Asgarpoor, Matthew J Mathine. Distribution system reliability evaluation with aging equipment,. Electric Power Research . (1995).
DOI: 10.1016/0378-7796(95)00933-9
Google Scholar
[13]
Sethuraman, Thomas R Young. Cumulative damage threshold crossing models,. Reliability and Quality Control . (1986).
Google Scholar
[14]
Carey,M. B, Tortorella,M. Analysis of degradation data applied to MOS devices. the 6~(th)International Conference on Reliability and Maintainability . (1988).
Google Scholar
[15]
Mohammed Ettouney, Elsayed A. Elsayed. Reliability estimation of degraded structural components subject to corrosion,. Working Paper No. 99-113, Department of Industrial Engineering, Rutgers University . (1999).
Google Scholar
[16]
Koutras M V. On a Markov Chain Approach for the Study of Reliability Structures. J. Applied Probab . (1996).
Google Scholar
[17]
Fu J C, Koutras M V. Distribution theory of runs: a Markov chain approach. Journal of the American Statistical Association . (1994).
Google Scholar
[18]
Shi Shaoqing (Department of Architecture Engineering, Logistical Engineering College, Chongqing 400041, China) Jiang Jiesheng (Northwestern Ploytechnical University, Xi'an 710072, China). TIME VARIANT SYSTEM RELIABILITY ANALYSIS BASED ON THE MARKOV CHAIN. Journal of Mechanical Design . (1998).
Google Scholar
[19]
Buchholz P. Structure analysis approaches for large Markov chain. Applied Numerical Mathematics . (1999).
Google Scholar
[20]
Wang P. System Reliability Prediction Based on Degradation Modeling Considering Field Operating Stress Scenarios. . (2003).
Google Scholar
[21]
Gertsbakh I B, Kordonskiy K B. Models of failure. . (1969).
Google Scholar