Modeling of dependent competing risks by first passage times of Wiener processes

Consider the competing risks situation for a component which may be subject to either a failure or a preventive maintenance action, where the latter will prevent the failure. It is then reasonable to expect a dependence between the time to failure and the time to preventive maintenance. This paper briefly reviews some modeling approaches and introduces a new approach based on modeling of the degradation of a component by means of Wiener processes, with failure corresponding to the first crossing of a certain level, and potential time for maintenance corresponding to the crossing of a certain lower degradation level.

[1]  Joseph D. Conklin Classical Competing Risks , 2002, Technometrics.

[2]  Cornel Bunea,et al.  MAINTENANCE STUDY FOR COMPONENTS UNDER COMPETING RISKS , 2001 .

[3]  ESTIMATION OF PARAMETERS OF MIXED EXPONENTIALLY DISTRIBUTED FAILURE TIME DISTRIBUTIONS FROM CENSORED LIFE TEST DATA , 1958 .

[4]  J. Lawless Statistical Models and Methods for Lifetime Data Second Edition , 2002 .

[5]  K. Doksum,et al.  Models for Variable-Stress Accelerated Life Testing Experiments Based on Wiener Processes and the Inverse Gaussian Distribution , 1992 .

[6]  Roger M. Cooke,et al.  The total time on test statistic and age-dependent censoring , 1993 .

[7]  Gordon Johnston,et al.  Statistical Models and Methods for Lifetime Data , 2003, Technometrics.

[8]  Helge Langseth,et al.  A MAINTENANCE MODEL FOR COMPONENTS EXPOSED TO SEVERAL FAILURE MECHANISMS AND IMPERFECT REPAIR , 2002 .

[9]  O. Aalen,et al.  Understanding the shape of the hazard rate: A proce ss point of view , 2002 .

[10]  Isaac Meilijson,et al.  A new approach to censored lifetime variables , 1996 .

[11]  Julie Horrocks,et al.  Modeling Event Times with Multiple Outcomes Using the Wiener Process with Drift , 2004, Lifetime data analysis.

[12]  G. A. Whitmore,et al.  Failure Inference From a Marker Process Based on a Bivariate Wiener Model , 1998, Lifetime data analysis.

[13]  Rajender Parsad,et al.  ESTIMATION OF PARAMETERS , 2007 .

[14]  Roger M. Cooke,et al.  The design of reliability data bases, part I: review of standard design concepts , 1996 .

[15]  J. Leroy Folks,et al.  The Inverse Gaussian Distribution: Theory: Methodology, and Applications , 1988 .

[16]  Nikolaos Limnios,et al.  Modern Statistical and Mathematical Methods in Reliability , 2005, Series on Quality, Reliability and Engineering Statistics.

[17]  Helge Langseth,et al.  STATISTICAL MODELING AND INFERENCE FOR COMPONENT FAILURE TIMES UNDER PREVENTIVE MAINTENANCE AND INDEPENDENT CENSORING , 2005 .

[18]  G. Whitmore,et al.  First-passage-time models for duration data: regression structures and competing risks , 1986 .

[19]  Roger M. Cooke The design of reliability data bases, part II: competing risk and data compression , 1996 .

[20]  Asit P. Basu,et al.  Probabilistic Risk Analysis , 2002 .

[21]  Helge Langseth,et al.  Modelling of dependence between critical failure and preventive maintenance: The repair alert model , 2006 .