2017
DOI: 10.1016/j.ijepes.2016.08.010
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Reliability evaluation of repairable systems using various fuzzy-based methods – A substation automation case study

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Cited by 14 publications
(4 citation statements)
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“…The objective is to obtain the optimal value of the length period and the percent of period duration in which the inventory level is positive. Some imperfect production models with trade credit have been studied, in recent years, by (among others) Wang et al [53], Alamri et al [54], Palanivel and Uthayakumar [55], Aghili and Hoseinabadi [56], Tsao et al [57,58], Khanna et al [59], Liao et al [60], Kazemi et al [61], Liao et al [62], Mashud et al [63], and Srivastava et al [64].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The objective is to obtain the optimal value of the length period and the percent of period duration in which the inventory level is positive. Some imperfect production models with trade credit have been studied, in recent years, by (among others) Wang et al [53], Alamri et al [54], Palanivel and Uthayakumar [55], Aghili and Hoseinabadi [56], Tsao et al [57,58], Khanna et al [59], Liao et al [60], Kazemi et al [61], Liao et al [62], Mashud et al [63], and Srivastava et al [64].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In Figure 1, once one physical device breaks, the physical fault clearing process is the key factor for maintaining the correct functioning of the substation. The definition of fault clearing is when a physical component fails, the corresponding transformers or current transformers monitor the fault information, and then send the analog signal to the merging unit (MU) [13,16]. The MU digitizes the information and sends the information to the protection Intelligent Electronic Devices (IEDs) of the corresponding physical components.…”
Section: Interaction Framework Of the Cyber-physical Substationmentioning
confidence: 99%
“…To include uncertainty in the extrapolation process, they used trapezoidal fuzzy numbers to shape the time-to-failure estimation. Aghili and Hajian-Hoseinabadi (2017) introduced a flexible form of Markov process to evaluate the reliability of repairable systems. They then used fuzzy arithmetic calculations to incorporate uncertainty into their presented model.…”
Section: Literature Reviewmentioning
confidence: 99%