2005
DOI: 10.1016/j.ress.2004.04.013
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A condition-based maintenance policy with non-periodic inspections for a two-unit series system

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Cited by 223 publications
(116 citation statements)
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“…For the price scenario 00001, the largest number of continuous price periods is the average price, i.e. max[T cL , T cM , T cH ]=max [6,9,3]= T cM , the minimal threshold can be assigned to the average price levels, i.e. min [d 1L …”
Section: Influence Of Electricity Price Scenarios 4)mentioning
confidence: 99%
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“…For the price scenario 00001, the largest number of continuous price periods is the average price, i.e. max[T cL , T cM , T cH ]=max [6,9,3]= T cM , the minimal threshold can be assigned to the average price levels, i.e. min [d 1L …”
Section: Influence Of Electricity Price Scenarios 4)mentioning
confidence: 99%
“…For the price scenario 04150, the largest number of continuous price periods is the average price, i.e. max[T cL , T cM , T cH ]=max [3,7,3]= T cM . And the sum of the periods for different price levels are [T sL , T sM , T sH ]= [9,18,9].…”
Section: Influence Of Electricity Price Scenarios 4)mentioning
confidence: 99%
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“…Wijnmalen and Hontelez [35] used a heuristic algorithm for computing control limits for components in systems under different discounted scenarios, which is formulated within a Markov decision framework. Castanier et al [5] introduced a model to coordinate inspection/replacement of a two-component system via a Markov renewal process and minimize the long-run maintenance cost. However, this model becomes intractable when it would be extended to systems with many components.…”
Section: Introductionmentioning
confidence: 99%