Dynamics of an optimal maintenance policy for imperfect repair models
The history of the system is considered in order to decide whether to maintain it. The equipment is maintained whenever the failure intensity goes above a threshold. This random policy will incur in lower costs than the periodical, fixed age policy. Estimation for imperfect repair models uses maximum likelihood and bootstrap methods. Application to a data set regarding failures of engines of off-road trucks is shown.
reliability bootstrap confidence bands continuous wear-out counting processes minimal repair