Abstract
Prognostics and health management have become increasingly important in recent years. Many research studies focus on a crucial phase consisting of predicting the remaining useful life of equipment or a component. However, this step is often carried out without taking into account the decisions that will be taken later. This article aims to propose a modification of the existing PHM framework to combine the prognostics and decision-making phases in a closed loop. In this paper, the presented framework is described and some elements for its implementation are proposed. A simplifiedexample is developed to illustrate the presented methodology of post-prognostic decision enhancement.
Highlights
The growing need of the industry for the high reliability, availability and operation safety of its systems was the root of the maintenance evolution
We presented an adaptation of the existing prognostics and health management (PHM) framework by integrating Prognostics and decision-making in a common process
This new process presents an enhancement for the decision-making of the previous process that has been introduced by the OSA-conditionbased maintenance (CBM) (Lebold & Thurston, 2001)
Summary
The growing need of the industry for the high reliability, availability and operation safety of its systems was the root of the maintenance evolution. Goebel et al in (Goebel et al, 2017), presented PHM as the procedure of studying the conditions of an engineering system, whether its behavior is within predefined nominal boundaries and in case of a deviation, predicts where and when the system would fail Based on this information, adequate decisions are taken to mitigate the effects of an undesirable event. Adequate decisions are taken to mitigate the effects of an undesirable event Considering these definitions PHM can be defined as an engineering discipline that investigates the reliability of a system and manages its conditions through a set of tools, methods, and processes that performs health assessment, diagnostics, prognostics, and decision-making.
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