Research on Electric Power Equipment Preventive Maintenance Cycle on the Basis of Economic Life Cycle Costing

The maintenance strategy is a tradeoff between cost and reliability. In this paper we consider the maintenance plan from the view of economic life cycle cost and reliability. We discuss the maintenance interval optimization on the premise that the preventive maintenance mitigates failure rate level and intensifies failure variance ratio meanwhile. The specific effect of this kind of preventive maintenance on failure rate and its variance ratio is explored, and then we construct a life cycle cost model of electric power equipment and propose the annuity of life cycle cost minimization as a method for seeking an optimal maintenance interval solution.

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Reliability-Based Design of Systems Considering Preventive Maintenance and Minimal Repair

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539397000059 ◽

1997 ◽

Vol 04 (01) ◽

pp. 55-71 ◽

Cited By ~ 23

Author(s):

Amit Monga ◽

Ming J. Zuo ◽

Roger W. Toogood

Keyword(s):

Failure Rate ◽

Preventive Maintenance ◽

Life Cycle Cost ◽

Economic Life ◽

Computer Integrated Manufacturing ◽

System Failure ◽

Practical Applications ◽

Reliability Based Design ◽

Optimal System Design ◽

Minimal Life

A reliability-based design (RBD) of a mixed series–parallel system with deteriorative components for minimal life cycle cost is presented in this paper. Two formulations are presented based on the type of preventive maintenance modeling. These formulations incorporate the effects of preventive maintenance and minimal repairs to adjust the system failure rate. Genetic Algorithms are used to obtain an optimal system design. The economic life of the designed system is also evaluated. The results have practical applications in the area of computer integrated manufacturing where a system must perform below a given failure rate.

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Optimal preventive maintenance level for a repairable product under warranty subject to multimode failure process

International Journal of Quality & Reliability Management ◽

10.1108/ijqrm-05-2020-0158 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Azmat Ullah ◽

Muhammad Ayat ◽

Hakeem Ur Rehman ◽

Lochan Kumar Batala

Keyword(s):

Life Cycle ◽

Failure Rate ◽

Preventive Maintenance ◽

Life Cycle Cost ◽

Product Life Cycle ◽

Scale Parameter ◽

Failure Process ◽

Rate Function ◽

Failure Rate Function ◽

Content Type

PurposeThe purpose of this paper is to develop a model that determines whether how much effort of preventive maintenance action is worthwhile for the consumer over the post-sale product life cycle of a repairable complex product where the product is under warranty and subject to stochastic multimode failure process, that is, damaging failure and light failure with different probabilities.Design/methodology/approachThe expected life cycle cost is designed for a warranted product from the consumer perspective. The product failure is quantified with failure rate function, which is the number of failures incurred over the product life cycle. The authors consider the failure rate function reduction method in their model where the scale parameter of a failure rate function is maximized by applying the optimal preventive maintenance level. The scale parameter of any failure distribution refers to the meantime to failure (MTTF). The first-order condition is applied with respect to the maintenance level in order to achieve the convexity of the nonlinear function of the expected life cycle cost function.FindingsThe authors have found analytically the close form of the preventive maintenance level, which can be used to find the optimal reduced form of the failure rate function of the product and the minimum product expected life cycle cost under the given condition of multimode stochastic failure process. The authors have suggested different maintenance policies to consumers in order to implement the proposed preventive maintenance model under different conditions. A numerical example further illustrated the analytical model by considering the Weibull distribution.Practical implicationsThe consumer may use this study in the accurate modeling of the life cycle cost of a product that is under warranty and fails with a multimode failure process. Also, the suggested preventive maintenance approach of this study helps the consumer in making appropriate maintenance decisions such as to minimize the expected life cycle cost of a product.Originality/valueThis study proposes an accurate estimation of a life cycle cost for a product that is under the support of warranty and fails with multimode. Furthermore, for such a kind of product, which is under warranty and fails with multimode, this study suggests a new preventive maintenance approach that assures the minimum expected life cycle cost.

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Determining economic life cycle for power transformer based on life cycle cost analysis

2012 IEEE International Power Modulator and High Voltage Conference (IPMHVC) ◽

10.1109/ipmhvc.2012.6518816 ◽

2012 ◽

Cited By ~ 2

Author(s):

Sung Hun Lee ◽

An Kyu Lee ◽

Jin O Kim

Keyword(s):

Life Cycle ◽

Cost Analysis ◽

Life Cycle Cost ◽

Power Transformer ◽

Economic Life ◽

Life Cycle Cost Analysis ◽

Economic Life Cycle

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Optimal Renovation Strategies through Life-Cycle Analysis in a Pilot Building Located in a Mild Mediterranean Climate

Applied Sciences ◽

10.3390/app11041423 ◽

2021 ◽

Vol 11 (4) ◽

pp. 1423

Author(s):

José Manuel Salmerón Lissen ◽

Cristina Isabel Jareño Escudero ◽

Francisco José Sánchez de la Flor ◽

Miriam Navarro Escudero ◽

Theoni Karlessi ◽

...

Keyword(s):

Life Cycle ◽

Life Cycle Cost ◽

Mediterranean Climate ◽

Building Envelope ◽

Economic Life ◽

Hot Water ◽

Optimal Solutions ◽

Building Stock ◽

Existing Building ◽

The Cost

The 2030 climate and energy framework includes EU-wide targets and policy objectives for the period 2021–2030 of (1) at least 55% cuts in greenhouse gas emissions (from 1990 levels); (2) at least 32% share for renewable energy; and (3) at least 32.5% improvement in energy efficiency. In this context, the methodology of the cost-optimal level from the life-cycle cost approach has been applied to calculate the cost of renovating the existing building stock in Europe. The aim of this research is to analyze a pilot building using the cost-optimal methodology to determine the renovation measures that lead to the lowest life-cycle cost during the estimated economic life of the building. The case under study is an apartment building located in a mild Mediterranean climate (Castellon, SP). A package of 12 optimal solutions has been obtained to show the importance of the choice of the elements and systems for renovating building envelopes and how energy and economic aspects influence this choice. Simulations have shown that these packages of optimal solutions (different configurations for the building envelope, thermal bridges, airtightness and ventilation, and domestic hot water production systems) can provide savings in the primary energy consumption of up to 60%.

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