Condition based maintenance optimization for multi-component systems using proportional hazards model

Tian, Zhigang; Liao, Haitao

doi:10.1016/j.ress.2010.12.023

Cited by 230 publications

(120 citation statements)

References 18 publications

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“…Constraints (8) guarantee the first-level thresholds be greater than the second-level threshold. Constraints (9) determine the sudden failure probabilities [23]. Constraints (10) impose the normal distribution on the stochastic variable u it .…”

Section: )mentioning

confidence: 99%

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An electricity price-dependent control-limit policy for conditionbased maintenance optimization for power generating unit

Xia

2016

EiN

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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

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Section: )mentioning

confidence: 99%

“…For example, an optimal PM threshold was derived by minimizing the average maintenance cost in [2,18]. A double-level PM threshold for a multi-component system was optimized on cost criteria as well in [23].…”

Section: )mentioning

confidence: 99%

An electricity price-dependent control-limit policy for conditionbased maintenance optimization for power generating unit

Xia

2016

EiN

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“…Liao [29] propose the use of an artificial neural network. To compare age/time-based and condition-based maintenance policies, Koochaki et al [15] evaluated the cost effectiveness of a three-component series system in the context of opportunistic maintenance via simulation.…”

Section: Introductionmentioning

confidence: 99%

A condition-based maintenance model for a single component in a system with scheduled and unscheduled downs

Zhu

Peng

Timmermans³

et al. 2017

International Journal of Production Economics

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“…Considering the joint setup costs, Bouvard et al (2011) converted a conditionbased maintenance problem into an age-based maintenance clustering problem, which yielded a schedule with a dynamic optimal maintenance interval. Moreover, Tian et al proposed two maintenance policies for multi-component systems using Proportional Hazard Model (Tian and Liao 2011) and Artificial Neural Network .…”

Section: Introductionmentioning

confidence: 99%

A condition-based maintenance policy for multi-component systems with a high maintenance setup cost

Zhu¹,

Peng

Houtum

2015

OR Spectrum

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Please check the document version of this publication:• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research.• You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. Abstract Condition-based maintenance (CBM) is becoming increasingly important due to the development of advanced sensor and information technology, which facilitates the remote collection of condition data. We propose a new CBM policy for multi-component systems with continuous stochastic deteriorations. To reduce the high setup cost of maintenance, a joint maintenance interval is introduced. With this interval and the control limits of components as decision variables, we develop a model for the minimization of the average long-run maintenance cost rate of the systems. Moreover, a numerical study of a production system consisting of a large number of non-identical components is presented, including a sensitivity analysis. Finally, our policy is compared to a failure-based policy and an age-based policy, in order to evaluate the cost-saving potential.

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Condition based maintenance optimization for multi-component systems using proportional hazards model

Cited by 230 publications

References 18 publications

An electricity price-dependent control-limit policy for conditionbased maintenance optimization for power generating unit

An electricity price-dependent control-limit policy for conditionbased maintenance optimization for power generating unit

A condition-based maintenance model for a single component in a system with scheduled and unscheduled downs

A condition-based maintenance policy for multi-component systems with a high maintenance setup cost

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