The component’s reliability is a function of component age during a system’s operating life. Component aging is strongly affected by maintenance activities performed on the system.Two categories of maintenance activities are considered in this work: Corrective maintenance (CM) and preventive maintenance (PM). We expound a new method to integrate the effect of CM while planning for the preventiv...

Purpose – This study aims to focus on asset management of large-scale information systems supporting infrastructures and especially seeks to address a methodology of their statistical deterioration prediction based on their historical inspection data. Information systems are composed of many devices. Deterioration process i.e. wear-out failure generation process of those devices is formulated b...

Another main plank in their argument is that MMT provides a better account of syllogistic reasoning than the probability heuristics model (PHM) [5]. However, the meta-analysis [6] they report comparing PHM with MMT used accuracy as a measure but did not allow PHM to predict no valid conclusion responses. This move contradicts PHM in which no valid conclusion responses are predicted by one of it...

The evolution of system reliability depends on its structure as well as on the evolution of its components reliability. The latter is a function of component age during a system’s operating life. Component aging is strongly affected by maintenance activities performed on the system. In this work, we consider two categories of maintenance activities: corrective maintenance (CM) and preventive ma...

‎Independent random‎ ‎variables $Y_{1},ldots‎ ,‎Y_{n}$ belongs to the‎ ‎proportional reversed hazard rate (PRHR) model with‎ ‎proportionality parameters $lambda_1,...,lambda_n$‎, ‎if‎ ‎$Y_{k}sim G^{lambda _{k}}(x)$‎, ‎for $k=1,...,n$‎, ‎where $G$ is an‎ ‎absolutely continuous distribution function‎. ‎In this paper we compare‎ ‎the smallest order‎ ‎statistics‎, ‎the sample ranges and th...

Evaluating the risk of stroke is important in reducing the incidence of this devastating disease. Here, we apply Bayesian model averaging to variable selection in Cox proportional hazard models in the context of the Cardiovascular Health Study, a comprehensive investigation into the risk factors for stroke. We introduce a technique based on the leaps and bounds algorithm which e ciently locates...

For random variables with Archimedean copula or survival copula, we develop the reversed hazard rate order and the hazard rate order on sample extremes in the context of proportional reversed hazard models and proportional hazard models, respectively. The likelihood ratio order on sample maximum is also investigated for the proportional reversed hazard model. Several numerical examples are pres...

This paper suggests a reference model for PHM processes that aids the customer of PHM in developing a business case for adopting PHM in his or her supply chain. Various PHM systems have been envisioned and developed in order to produce a prognosis of system or component behavior by collecting physical data from some section of a system, analyzing it and reporting the results to the entity that ...