2013
DOI: 10.1016/j.ijepes.2012.07.035
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A renewal-process-based component outage model considering the effects of aging and maintenance

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Cited by 16 publications
(7 citation statements)
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“…Furthermore, the rates are supposed to be constant quantities especially be time-invariant, but it is widely believed that aging processes and environmental factors influence utterly on components, systems and the expected performances during the time of operation. Corrective maintenances and rehabilitation actions have the noteworthy impacts on working states of a system [10,35,36].…”
Section: Fuzzy Reliability and The Methodology Selectionmentioning
confidence: 99%
“…Furthermore, the rates are supposed to be constant quantities especially be time-invariant, but it is widely believed that aging processes and environmental factors influence utterly on components, systems and the expected performances during the time of operation. Corrective maintenances and rehabilitation actions have the noteworthy impacts on working states of a system [10,35,36].…”
Section: Fuzzy Reliability and The Methodology Selectionmentioning
confidence: 99%
“…The share of ageing failures grows significantly when components age [74]. Operating conditions such as bad weather may also increase a component's failure rate, particularly in the presence of ageing components [75]. As a result, the age of the grid's components contributes to the incidence of weather-related power outages.…”
Section: Grid Ageingmentioning
confidence: 99%
“…Ji et al [22] proposed a staircase aging failure rate model based on the renewal process theory aiming at reducing the complexity of Weibull or exponential functions so as to be viable to derive an analytical expression of transient component availability, however, such a model unrealistically assumed an identical effect of repair quality on each post-repair aging failure rate model. Buhari et al [23] modelled aging distribution cables with the aid of Weibull distribution for up-times and exponential models for down-times.…”
Section: Introductionmentioning
confidence: 99%