Analysis of Reliability Data Using Subsurvival Functions and Censoring Models

Book chapter (2023)

Authors

R.M. Cooke Applied Probability - EEMCS
Tim Bedford University of Strathclyde
Research Group
Applied Probability (EEMCS) (TU Delft)
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Published Date

2023

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Delft Institute of Applied Mathematics

Research Group

Applied Probability

Abstract

The problem of failure rate estimation is considered in the light of data acquired from the ATV reporting system. A number of different models for preventive maintenance are discussed which make the failure rate identifiable, as are more general bounding methods which do not require identifiability. These techniques are illustrated on ATV data which is shown in graphs of subsurvival functions. These graphs show, amongst other things, the effect of different maintenance policies on identical systems.