A maintenance decision optimization method based on life cycle cost of converter transformer

Zhou, Liwei; Wang, Youyuan; Li, Yuanlong; Zhu, Mengzhao; Du, Xiuming

doi:10.1109/eic.2016.7548603

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…A flow chart is made and the smallest Life-Cycle Cost (LCC) is selected as best maintenance strategy. The practical situation and presented model show improvement in the calculation method of failure loss cost [3].…”

Section: Aircraft Maintenancementioning

confidence: 96%

Simulation of Ageing of Aircraft

Mudabbiruddin

Pokorádi²

2022

RepTudKoz

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In today’s world, there is increasing demand of new technologies. As the world is growing, new technologies are emerging. To sustain the new technologies, technologies used for its maintenance must be developed. In the aviation industry with respect to the Industry 4.0 system, its maintenance strategies are also developing. The aim to this study is to present a mathematical model which is used to predict the ageing of any technical system. The authors used the Markov process theory to model the ageing process. As per the model, results and future work are determined and discussed briefly.

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Section: Aircraft Maintenancementioning

confidence: 96%

Simulation of Ageing of Aircraft

Mudabbiruddin

Pokorádi²

2022

RepTudKoz

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“…The current body of literature holds substantial guidance on asset life cycle costing analysis (LCCA) [80][81][82][83][84]. However, the practical integration of LCCA approaches into routine plant management systems especially MAM cannot be described as widespread.…”

Section: Mam Life Cycle Cost Mappingmentioning

confidence: 99%

“…However, the practical integration of LCCA approaches into routine plant management systems especially MAM cannot be described as widespread. One fundamental limitation of the conventional LCCA approaches is lack of full acknowledgement of the interdependence that exists between system reliability and cost [81][82][83][84]. The current study proposes a MAM life cycle cost (MAMLCC) for PTs, based on item structure and maintenance regimes (i.e., BM, PPM & CBM for which their respective intervals are shown in column 3 of Table 5).…”

Section: Mam Life Cycle Cost Mappingmentioning

confidence: 99%

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Ayu¹,

Yunusa‐Kaltungo

2020

Energies

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The outburst of population as well as increasing industrialisation have triggered a very prominent imbalance between electricity demand and supply in emerging economies such as Indonesia. Based on this premise, electricity generation and distribution firms such as Perusahaan Listrik Negara (PLN) are faced with an urgent need to enhance availability and reliability through capacity expansion as well as the institutionalisation of cost-effective maintenance and asset management (MAM) principles. Some of the principles recommended here involve embedding customised overall health index (OHI) and total life cycle cost (LCC) estimation principles into engineering decisions that relate to asset renewal and/or replacement. While discussions about the fundamental theories and estimation approaches for OHI and LCC for power transformers (PTs) already exist in the current body of literature, however, they are mostly in a generic form which has somewhat limited proper implementation of these valuable principles in practice. This study is unique because it provides a very systematic framework towards achieving cost-effective MAM through a case study. Additionally, the proposed framework is all-encompassing, as it also assesses the impacts of human unreliability through the application or proven risk assessment techniques. The proposed framework commences with the evaluation of existing decision support system at PLN through a MAM audit, whereby the performance of the West Java arm of PLN with regards to critical MAM elements was examined.

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“…A more recent transformer Dry-type distribution transformer 645 design survey (Khatri and Rahi, 2012) includes now some environmental impact modeling (Amoiralis et al, 2007;Georgilakis, 2011). But the latest studies are still on life cycle cost analysis, which plays an important aspect for transformer design, from investment costs (Zhang et al, 2014) to maintenance costs (Zhou et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Comparing life cycle cost and environmental impact optimizations of a low voltage dry type distribution transformer

Delinchant

Mandil

Würtz

2018

COMPEL

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PurposeLife cycle analysis (LCA) is more and more used in the context of electromagnetic product design. But it is often used to check a design solution regarding environmental impacts after technical and economical choices. This paper aims to investigate life cycle impact optimization (LCIO) and compare it with the classical life cycle cost optimization (LCCO). Design/methodology/approachFirst, a model of a dry-type transformer using different materials for windings and the magnetic core is presented. LCCO, which is a mixed continuous-discrete, multi-objective technico-economic optimization, is done using both deterministic and genetic algorithms. LCCO results and optimization performances are analyzed, and an LCA is presented for a set of optimal solutions. The final part is dedicated to LCIO, where the paper shows that these optimal solutions are close to those obtained with LCCO. FindingsThis paper investigated LCIO using an environmental impacts model that has been introduced in the optimization framework Component Architecture for the Design of Engineering Systems. The paper shows how a mixed continuous-discrete, multi-objective technico-economic optimization can be done using an efficient deterministic optimization algorithm such as Sequential Quadratic Programming. Thanks to the technico-economic-environmental model and the efficient optimization algorithm, both LCCO and LCIO were performed separately and together. It has been shown that optimal solutions are similar, leading to the conclusion that only one modeling is required (economic or environmental) but on the life cycle. Originality/valueThe classical sequential methodology of design is improved here by the use of a model of calculation of the environmental impacts allowing the optimization. This original optimization allowed the authors to show that an analysis of the life cycle from an economic point of view or from an environmental point of view led to quasi-equivalent technical solutions. The key is to take into account the life cycle of the product.

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A maintenance decision optimization method based on life cycle cost of converter transformer

Cited by 4 publications

References 3 publications

Simulation of Ageing of Aircraft

Simulation of Ageing of Aircraft

A Holistic Framework for Supporting Maintenance and Asset Management Life Cycle Decisions for Power Systems

Comparing life cycle cost and environmental impact optimizations of a low voltage dry type distribution transformer

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