“…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%
“…With rapid development of instrumentation and measurement technology, more efficient maintenance types are needed, such as condition-based maintenance (CBM). For CBM, the maintenance action taken at each inspection is determined once the state of the system is higher than the specified control-limit [3,9,16]. In the class of control-limit policy, maintenance decision is made by comparison of degradation level to the critical thresholds, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…In the class of control-limit policy, maintenance decision is made by comparison of degradation level to the critical thresholds, e.g. in [3]. Furthermore, functional failure and potential failure was defined by the failure threshold in [16].…”
An electricity price-dependent control-limit policy for conditionbAsed mAintenAnce optimizAtion for power generAting unit zAstosowAnie strAtegii uzAleżniAjącej termin przeglądu od ceny prądu elektrycznego do optymAlizAcji utrzymAniA ruchu AgregAtu prądotwórczego z uwzględnieniem jego stAnu technicznego QIAN X, WU Y. An electricity price-dependent control-limit policy for condition-based maintenance optimization for power generating unit. Eksploatacja i Niezawodnosc -Maintenance and Reliability 2016; 18 (2): 245-253, http://dx
“…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%
“…With rapid development of instrumentation and measurement technology, more efficient maintenance types are needed, such as condition-based maintenance (CBM). For CBM, the maintenance action taken at each inspection is determined once the state of the system is higher than the specified control-limit [3,9,16]. In the class of control-limit policy, maintenance decision is made by comparison of degradation level to the critical thresholds, e.g.…”
Section: Introductionmentioning
confidence: 99%
“…In the class of control-limit policy, maintenance decision is made by comparison of degradation level to the critical thresholds, e.g. in [3]. Furthermore, functional failure and potential failure was defined by the failure threshold in [16].…”
An electricity price-dependent control-limit policy for conditionbAsed mAintenAnce optimizAtion for power generAting unit zAstosowAnie strAtegii uzAleżniAjącej termin przeglądu od ceny prądu elektrycznego do optymAlizAcji utrzymAniA ruchu AgregAtu prądotwórczego z uwzględnieniem jego stAnu technicznego QIAN X, WU Y. An electricity price-dependent control-limit policy for condition-based maintenance optimization for power generating unit. Eksploatacja i Niezawodnosc -Maintenance and Reliability 2016; 18 (2): 245-253, http://dx
“…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.…”
We focus on condition‐based maintenance models with Markovian deterioration, and review the literature for which control‐limit policies are optimal. These polices are not necessarily optimal in a variety of cases and the optimal policy may have a rather complex structure. We also discuss such models where one often uses special simplified policies depicted by a few thresholds and solved using iterative algorithms. The objective is to discuss a wide range of models on condition‐based maintenance and technical details are omitted.
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