2017
DOI: 10.1016/j.jclepro.2016.10.185
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Energy efficiency performance-based prognostics for aided maintenance decision-making: Application to a manufacturing platform

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Cited by 45 publications
(30 citation statements)
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“…Therefore, Hoang et al [6] presented an optimization model for the CBM strategy in 2016 based on the stochastic process theory. This model assumes that the degradation increment is subject to the Gamma process and that the deterioration state, along with available output, determines the Energy Efficiency Index (EEI).…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, Hoang et al [6] presented an optimization model for the CBM strategy in 2016 based on the stochastic process theory. This model assumes that the degradation increment is subject to the Gamma process and that the deterioration state, along with available output, determines the Energy Efficiency Index (EEI).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Moreover, the total cost is divided into maintenance cost and energy consumption cost so that both of them are considered when making maintenance decisions. Compared with the traditional CBM strategy based on the deterioration of the system, the CBM strategy based on EEI proposed by the literature [6] can more efficiently reduce costs and save energy.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Indeed, with several industrial projects, this renewable energy source has been widely installed. The latter remains surrounded by several disadvantages, even in its interest, the most important being its inability to fed the required energy (such as at night) [12]. Various alternative energy sources and storage technology are included in the treatment of current energy problems such as fuel cell, electrolyte, Super-Capacitor, and hydrogen storage tank.…”
Section: Introductionmentioning
confidence: 99%
“…fficient use of energy becomes more important daily in industries [1]- [3]. , as several devices (or arrays of them) are implemented in processes, looking for better energy use.…”
Section: Introductionmentioning
confidence: 99%