Condition based Maintenance Optimization for the Hydro Generating Unit with Dynamic Economic Dependence

Xia, Qian; Wu, Yuhou

doi:10.14257/ijca.2014.7.3.30

Cited by 9 publications

(4 citation statements)

References 23 publications

(23 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, although the set-up cost is generally assumed to be time-independent, this is not necessarily the case in practice. Qian and Wu (2014) explain for example that set-up costs for maintenance on a hydro-generating unit in a deregulated power system can be time-dependent due to fluctuations in the monthly electricity price. For that reason, they introduce a (single) time-dependent set-up cost.…”

Section: Positive Economic Dependencementioning

confidence: 99%

Condition-based maintenance policies for systems with multiple dependent components: A review

Keizer

Flapper

Teunter

2017

European Journal of Operational Research

326

143

View full text Add to dashboard Cite

Condition-based maintenance (CBM) has received increasing attention in the literature over the past years. The application of CBM in practice, however, is lagging behind. This is, at least in part, explained by the complexity of real-life systems as opposed to the stylized ones studied most often. To overcome this issue, research is focusing more and more on complex systems, with multiple components subject to various dependencies. Existing classifications of these dependencies in the literature are no longer sufficient. Therefore, we provide an extended classification scheme. Besides the types of dependencies identified in the past (economic, structural, and stochastic), we add resource dependence, where multiple components are connected through, e.g., shared spares, tools, or maintenance workers. Furthermore, we extend the existing notion of structural dependence by distinguishing between structural dependence from a technical point of view and structural dependence from a performance point of view (e.g., through a series or parallel setting). We review the advances made with respect to CBM. Our main focus is on the implications of dependencies on the structure of the optimal CBM policy. We link our review to practice by providing real-life examples, thereby stressing current gaps in the literature.

show abstract

Section: Positive Economic Dependencementioning

confidence: 99%

Condition-based maintenance policies for systems with multiple dependent components: A review

Keizer

Flapper

Teunter

2017

European Journal of Operational Research

326

143

View full text Add to dashboard Cite

show abstract

“…For example in the well-known work of Banjevic et al (2001), the authors have assumed that the covariate measurements, which are observable at certain discrete points over time reflect the level of degradation directly. Many extensions of this work and this assumption have been published including the recent work of Wu and Ryan (2014) and Qian and Wu (2014). Our work is different from this group of literature, as we consider a more realistic case under which condition monitoring data provide only partial information with regards to the degradation process and are only stochastically related to the underlying system state.…”

Section: Operating Timementioning

confidence: 99%

Joint optimization of ordering and maintenance with condition monitoring data

Moghaddass

Ertekin

2018

Ann Oper Res

View full text Add to dashboard Cite

We study a single-unit deteriorating system under condition monitoring for which collected signals are only stochastically related to the actual level of degradation. Failure replacement is costlier than preventive replacement and there is a delay (lead time) between the initiation of the maintenance setup and the actual maintenance, which is closely related to the process of spare parts inventory and/or maintenance setup activities.We develop a dynamic control policy with a two-dimensional decision space, referred to as a warning-replacement policy, which jointly optimizes the replacement time and replacement setup initiation point (maintenance ordering time) using online condition monitoring data. The optimization criterion is the long-run expected average cost per unit of operation time. We develop the optimal structure of such a dynamic policy using a Partially Observable Semi-Markov Decision Process (POSMDP) and provide some important results with respect to optimality and monotone properties of the optimal policy. We also discuss how to find the optimal values of observation/inspection interval and lead time using historical condition monitoring data. Illustrative numerical examples are provided to show that our joint policy outperforms conventional suboptimal policies commonly used in the literature.

show abstract

“…Qian and Wu, 49 and Yildirim et al 50,51 ü ü ü Dahal et al 52 and Ji et al 53 ü 49 consider constant inspection intervals and optimize maintenance by creating a dynamic risk threshold which is defined as the product of timedependent down-time cost and a scale factor. Development of condition-based maintenance policies for multicomponent systems and determination of optimal risk threshold are considered as future studies.…”

Section: Maintenance and Riskmentioning

confidence: 99%

Impact of health indicators on maintenance management and operation of power systems

Mazidi

Sanz-Bobi

Shayesteh

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part O:

View full text Add to dashboard Cite

This article proposes a maintenance management and risk reduction approach. The approach introduces two reliabilitybased indexes called condition indicator and risk indicator. Condition indicator is a unit-less parameter that comes directly from monitored condition of a component and converts the categorical condition into a numerical value. Risk indicator in megawatt represents the risk imposed by the health of a component onto the system. To demonstrate application of the indicators, they are implemented through an hourly network constraint unit commitment problem and applied in a test system where the analysis of impact of condition of the generators to the operation is the new contribution. The results demonstrate how addition of such indicators will impact the operation of the grid and maintenance scheduling. The results show the benefit for the system operator as the overall failure risk in the system is taken into account, and the benefit for the asset owner as the direct impact of the maintenance to be carried out can be investigated. Two of the main outcomes of the maintenance management and risk reduction approach are as follows: asset owners can analyze their maintenance strategies and evaluate their impacts in the maintenance scheduling, and system operators can operate the grid with higher security and lower risk of failure.

show abstract

Condition based Maintenance Optimization for the Hydro Generating Unit with Dynamic Economic Dependence

Abstract: This paper considers a condition-based maintenance (i.e. CBM)

Cited by 9 publications

References 23 publications

Condition-based maintenance policies for systems with multiple dependent components: A review

Condition-based maintenance policies for systems with multiple dependent components: A review

Joint optimization of ordering and maintenance with condition monitoring data

Impact of health indicators on maintenance management and operation of power systems

Contact Info

Product

Resources

About