메뉴 건너뛰기




Volumn 30, Issue 1, 2010, Pages 195-219

Reliability assessment using degradation models: Bayesian and classical approaches

Author keywords

Bayesian approach; Classical approach; Degradation data analysis; Reliability

Indexed keywords


EID: 77954884846     PISSN: 01017438     EISSN: 16785142     Source Type: Journal    
DOI: 10.1590/s0101-74382010000100010     Document Type: Article
Times cited : (30)

References (38)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723.
    • (1974) IEEE Transactions on Automatic Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 3
    • 32344446687 scopus 로고
    • Understanding the Metropolis-Hasting Algorithm
    • Chib, S. & Greenberg, E. (1995). Understanding the Metropolis-Hasting Algorithm. The American Statistician, 49(4), 327-335.
    • (1995) The American Statistician , vol.49 , Issue.4 , pp. 327-335
    • Chib, S.1    Greenberg, E.2
  • 5
    • 0006071674 scopus 로고
    • Degradation rate models for failure time and survival data
    • Doksum, K.A. (1991). Degradation Rate Models for Failure Time and Survival Data. CWI Quart, 4, 195-203.
    • (1991) CWI Quart , vol.4 , pp. 195-203
    • Doksum, K.A.1
  • 6
    • 77956887385 scopus 로고
    • Bootstrap confidence intervals for a class of parametric problems
    • Efron, B. (1985). Bootstrap Confidence Intervals for a Class of Parametric Problems. Biometrika, 72, 45-58.
    • (1985) Biometrika , vol.72 , pp. 45-58
    • Efron, B.1
  • 7
    • 0004160361 scopus 로고    scopus 로고
    • Markov chain monte carlo. stochastic simulation for bayesian inference
    • 2nd edition, Chapman & Hall
    • Gamerman, D. & Lopes, H.F. (2006). Markov Chain Monte Carlo. Stochastic simulation for Bayesian inference (2nd edition). Texts in Statistical Science. Chapman & Hall.
    • (2006) Texts in Statistical Science
    • Gamerman, D.1    Lopes, H.F.2
  • 11
    • 28244495167 scopus 로고    scopus 로고
    • Using Degradation Data to Assess Reliability
    • Hamada, M. (2005). Using Degradation Data to Assess Reliability. Quality Engineering, 17, 615-620.
    • (2005) Quality Engineering , vol.17 , pp. 615-620
    • Hamada, M.1
  • 13
    • 0025170004 scopus 로고
    • Nonlinear mixed effects models for repeated measures data
    • Lindstrom, M.J. & Bates, D.M. (1990). Nonlinear Mixed Effects Models for Repeated Measures Data. Biometrics, 46, 673-687.
    • (1990) Biometrics , vol.46 , pp. 673-687
    • Lindstrom, M.J.1    Bates, D.M.2
  • 14
    • 0027595086 scopus 로고
    • Using degradation measures to estimate a time-to- failure distribution
    • Lu, C.J. & Meeker, W.Q. (1993). Using Degradation Measures to Estimate a Time-to- Failure Distribution. Technometrics, 35, 161-174.
    • (1993) Technometrics , vol.35 , pp. 161-174
    • Lu, C.J.1    Meeker, W.Q.2
  • 15
  • 20
    • 0019583484 scopus 로고
    • Analysis of performance degradation data from accelerated tests
    • Nelson, W. (1981). Analysis of Performance Degradation Data from Accelerated Tests. IEEE Transactions on Reliability, 30, 149-155.
    • (1981) IEEE Transactions on Reliability , vol.30 , pp. 149-155
    • Nelson, W.1
  • 22
    • 84946045727 scopus 로고
    • Approximations to the log-likelihood function in the nonlinear mixed-effects model
    • Pinheiro, J.C. & Bates D.C. (1995). Approximations to the log-likelihood function in The nonlinear mixed-effects model. Journal of Computational and Graphical Statistics, 1(4), 12-35.
    • (1995) Journal of Computational and Graphical Statistics , vol.1 , Issue.4 , pp. 12-35
    • Pinheiro, J.C.1    Bates, D.C.2
  • 25
    • 84907095419 scopus 로고    scopus 로고
    • R: A language and environment for statistical computing
    • R Development Core Team, Vienna, Austria. ISBN 3-900051-07-0, URL
    • R Development Core Team (2006). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL .
    • (2006) R Foundation for Statistical Computing
  • 28
  • 30
    • 0029386321 scopus 로고
    • Using degradation data to improve fluorescent lamp reliability
    • Tseng, S.T.; Hamada, M. & Chiao, C.H. (1995). Using Degradation Data to Improve Fluorescent Lamp Reliability. Journal of Quality Technology, 27, 363-369.
    • (1995) Journal of Quality Technology , vol.27 , pp. 363-369
    • Tseng, S.T.1    Hamada, M.2    Chiao, C.H.3
  • 31
    • 0030626145 scopus 로고    scopus 로고
    • Modelling accelerated degradation data using wiener diffusion with a time scale transformation
    • Whitmore, G.A. & Shenkelberg, F. (1997). Modelling accelerated degradation data using Wiener diffusion with a time scale transformation. Lifetime Data Analysis, 3, 27-45.
    • (1997) Lifetime Data Analysis , vol.3 , pp. 27-45
    • Whitmore, G.A.1    Shenkelberg, F.2
  • 32
    • 0036566501 scopus 로고    scopus 로고
    • Optimal design of degradation tests in presence of cost constraint
    • Wu, S.J. & Chang, C.T. (2002). Optimal Design of Degradation Tests in Presence of Cost Constraint. Reliability Engineering & System Safety, 76, 109-115.
    • (2002) Reliability Engineering & System Safety , vol.76 , pp. 109-115
    • Wu, S.J.1    Chang, C.T.2
  • 33
    • 0033460988 scopus 로고    scopus 로고
    • Reliability analysis using the least squares method in nonlinear mixed-effect degradation models
    • Wu, S.J. & Shao, J. (1999). Reliability Analysis Using the Least Squares Method in Nonlinear Mixed-Effect Degradation Models. Statist Sinica, 9, 855-877.
    • (1999) Statist Sinica , vol.9 , pp. 855-877
    • Wu, S.J.1    Shao, J.2
  • 34
    • 0034228173 scopus 로고    scopus 로고
    • Estimation of time-to-failure distribution derived from a degradation model using fuzzy clustering
    • Wu, S.J. & Tsai, T.R. (2000). Estimation of Time-to-Failure Distribution Derived From a Degradation Model Using Fuzzy Clustering. Quality and Reliability Engineering International, 16, 261-267.
    • (2000) Quality and Reliability Engineering International , vol.16 , pp. 261-267
    • Wu, S.J.1    Tsai, T.R.2
  • 35
    • 0030086097 scopus 로고    scopus 로고
    • Degradation analysis estimates of the time-to-failure distribution of irradiated fuel elements
    • Yacout, A.M.; Salvatores, S. & Orechwa, Y. (1996). Degradation Analysis Estimates of the Time-to-Failure Distribution of Irradiated Fuel Elements. Nuclear Technology, 113, 177-189.
    • (1996) Nuclear Technology , vol.113 , pp. 177-189
    • Yacout, A.M.1    Salvatores, S.2    Orechwa, Y.3
  • 36
    • 0033321682 scopus 로고    scopus 로고
    • Designing a degradation experiment
    • Yu, H.F. & Tseng, S.T. (1997). Designing a Degradation Experiment. Naval Research Logistics, 46, 689-706.
    • (1997) Naval Research Logistics , vol.46 , pp. 689-706
    • Yu, H.F.1    Tseng, S.T.2
  • 37
    • 0036890625 scopus 로고    scopus 로고
    • An optimal designed degradation experiment for reliability improvement
    • Yu, H.F. & Chiao, C.H. (2002). An Optimal Designed Degradation Experiment for Reliability Improvement. IEEE Trans on Reliability, 51(4), 427-433.
    • (2002) IEEE Trans on Reliability , vol.51 , Issue.4 , pp. 427-433
    • Yu, H.F.1    Chiao, C.H.2
  • 38
    • 26944491285 scopus 로고    scopus 로고
    • Designing a degradation experiment with a reciprocal weibull degradation rate
    • Yu, H.F. & Tseng, S.T. (2004). Designing a Degradation Experiment with a Reciprocal Weibull Degradation Rate. Quality Technology and Quantitative Management, 1(1), 47-63.
    • (2004) Quality Technology and Quantitative Management , vol.1 , Issue.1 , pp. 47-63
    • Yu, H.F.1    Tseng, S.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.