Modelling repairable system reliability with explanatory variables and repair and maintenance actions

Incorporating repair information into maintenance optimization models for repairable systems

“…Lugtigheid [9] gives a brief overview of some of these, including the Kijima virtual age reduction models [10] and the Cox PIM [11] and some variations. A few models will be briefly discussed here.…”

“…The age reduction of RMAs can be defined by this state indicator. In a different paper, Lugtigheid [9] proposes three types of repair and maintenance indicators -the operating time and state of the system, and the degree of repair. It is suggested that these indicators can be used in either a PIM or in a Kijima type …”

Minor maintenance actions and their impact on diagnostic and prognostic CBM models

“…A recent implementation of this methodology appears in Lugtigheid et al (2004) using a repair maintenance indicator estimated from the component repair history. In the imperfect repair literature, maintenance actions might be described as restoring a system to some state between bad-as-old and good-as-new, depending on the extent of repair made.…”

Optimizing the performance of a repairable system under a maintenance and repair contract

“…There was therefore no information available on the impact of different repair types on posterior component performance. If this would have been the case, an intensity model could have been constructed where the impact of different repair types could have been evaluated, whether by means of additional covariates in the PIM/PHM, a virtual age model (Kijima 28 ), an intensity reduction model (Chan 29 ) or an RMI-model (Lugtigheid et al 30,31 ), among others. Even though this could not be evaluated statistically, it was still desirable to evaluate the impact of increased repair efficiency on expected costs per hour.…”