2007
DOI: 10.1016/j.microrel.2007.02.016
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A maintenance planning and business case development model for the application of prognostics and health management (PHM) to electronic systems

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Cited by 92 publications
(57 citation statements)
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“…One of the primary strategies to enable CBM is the use of PHM [19]. Much effort has been focused on determining the general economic benefits of PHM [20][21][22][23]. The prognostics information can be used to predict the time of faults.…”
Section: Prognostics and Health Management Conceptsmentioning
confidence: 99%
“…One of the primary strategies to enable CBM is the use of PHM [19]. Much effort has been focused on determining the general economic benefits of PHM [20][21][22][23]. The prognostics information can be used to predict the time of faults.…”
Section: Prognostics and Health Management Conceptsmentioning
confidence: 99%
“…In [2], [3] and [4], studies were performed on the cost variation when some parameters are changed, such as PDF of failure instant, component life cycle cost and lead time. Although the cost sensitivity to other parameters was identified, no previous work presented a methodology to adequately perform the tasks of the Decision Making block in order to minimize the resulting cost.…”
Section: Figure 1 -Simulation Blocksmentioning
confidence: 99%
“…Cost-Benefit Models are the key to demonstrate the value of PHM In order to demonstrate the benefit of PHM technologies, many Cost-Benefit models have been proposed [1], [2], [3], [4] and [5]. Some works, such as [2] and [3], comprise discrete-event simulation models. The objective of these models is to simulate the behavior of the maintenance or logistics departments when a PHM system is available for a set of components.…”
Section: Introductionmentioning
confidence: 99%
“…Actually, if a fault is required to be detected and isolated when it occurred, its RUL should be predicted using an effective and timely method [21]. RUL prediction also ensures that some measures can be taken in case of the whole aircraft running to failures [22,23,24,25]. Furthermore, RUL prediction allows active replacement, planned maintenance procedures, and enhanced decisions of fleet deploy [15,26].…”
Section: Introductionmentioning
confidence: 99%