A BAYES-COMPETING RISK MODEL FOR THE USE OF EXPERT JUDGMENT IN RELIABILITY ESTIMATION

被引：9
|
作者：
COOLEN, FPA
MERTENS, PR
NEWBY, MJ
机构：
[1] TECH UNIV EINDHOVEN,FAC IND ENGN,POSTBOX 530,5600 MB EINDHOVEN,NETHERLANDS
[2] KEMIRA BV,RELIABIL ASSURANCE,3180 AA ROZENBURG,NETHERLANDS
来源：
RELIABILITY ENGINEERING & SYSTEM SAFETY | 1992年 / 35卷 / 01期
关键词：
D O I：
10.1016/0951-8320(92)90018-G
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In an analysis of the reliability of heat exchangers, a number of causes of failure and a number of potential failure patterns were identified. To allow a simplification of the analysis, five independent groups of failure causes were defined and formed the basis of a competing risks model. Further, lack of data and poor quality data required the experience of 'experts' to be used in a quantitative way through Bayesian methods. Lastly, to simplify the elicitation of the prior densities, a shape, scale and location parameter model for the failure time distributions was adopted.
引用
收藏
页码：23 / 30
页数：8
相关论文
共 50 条
  • [21] A competing risk model for the reliability of cylinder liners in marine Diesel engines
    Bocchetti, D.
    Giorgio, M.
    Guida, M.
    Pulcini, G.
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2009, 94 (08) : 1299 - 1307
  • [22] A competing risk model for the reliability of cylinder liners in ship Diesel engines
    Bocchetti, D.
    Giorgio, M.
    Guida, M.
    Pulcini, G.
    SAFETY AND RELIABILITY FOR MANAGING RISK, VOLS 1-3, 2006, : 2751 - +
  • [23] Recommendations on the use of expert judgment in safety and reliability engineering studies. Two offshore case studies
    Hokstad, P
    Oien, K
    Reinertsen, R
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 1998, 61 (1-2) : 65 - 76
  • [24] BAYES SHRINKAGE ESTIMATION OF RELIABILITY AND THE PARAMETERS OF A FINITE-RANGE FAILURE TIME MODEL
    PANDEY, M
    SINGH, VP
    MICROELECTRONICS AND RELIABILITY, 1993, 33 (13): : 2039 - 2042
  • [25] Battery Conditional Reliability Function Under an Inverse Gaussian model and its Bayes Estimation
    Chiodo, E.
    Lauria, D.
    Mottola, F.
    Andrenacci, N.
    7TH INTERNATIONAL CONFERENCE ON CLEAN ELECTRICAL POWER (ICCEP 2019): RENEWABLE ENERGY RESOURCES IMPACT, 2019, : 550 - 555
  • [26] Estimation of a Stress-Strength Insulation Reliability Model by means of a New Bayes Method
    Chiodo, E.
    Di Noia, L. P.
    Mottola, F.
    Mazzanti, G.
    2018 IEEE CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA (IEEE CEIDP), 2018, : 322 - 325
  • [27] Model Robustness Analysis of a Bayes Stress-Strength Reliability Estimation with Limited Data
    Chiodo, E.
    2014 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS, ELECTRICAL DRIVES, AUTOMATION AND MOTION (SPEEDAM), 2014, : 1140 - 1145
  • [28] SELECTING EXPERIMENTAL-DATA FOR USE IN QUANTITATIVE RISK ASSESSMENT - AN EXPERT-JUDGMENT APPROACH
    WOLFF, SK
    HAWKINS, NC
    KENNEDY, SM
    GRAHAM, JD
    TOXICOLOGY AND INDUSTRIAL HEALTH, 1990, 6 (02) : 275 - 291
  • [29] BAYES ESTIMATION OF RELIABILITY IN STRESS STRENGTH MODEL OF WEIBULL DISTRIBUTION WITH EQUAL SCALE-PARAMETERS
    PANDEY, M
    UPADHYAY, SK
    MICROELECTRONICS AND RELIABILITY, 1986, 26 (02): : 275 - 278
  • [30] A Mixed Poisson process and Empirical Bayes estimation based Software Reliability Growth Model and Simulation
    Barraza, Nestor Ruben
    2017 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C), 2017, : 612 - 613
12345