The optimal maintenance strategy of power transformers based on the life cycle cost

2017 ◽  
Author(s):  
Jianpeng Bian ◽  
Su Yang ◽  
Xiaoyun Sun
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Power Transformers ◽  
Maintenance Strategy ◽  
Optimal Maintenance

Study on in-Service Bridge LCC Decision Model Based on Maintenance Management System

2011 ◽  
Vol 255-260 ◽  
pp. 3933-3937
Author(s):  
Yu Meng Wu ◽  
Jun Chang
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Decision Model ◽  
Management Strategies ◽  
Maintenance Management ◽  
Management Decision ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Bridge Maintenance ◽  
Optimal Maintenance

In this paper, decision-making tree and Markov process are used to select maintenance strategies of in-service bridges with the minimum LCC (life-cycle cost). Other costs in life cycle are considered comprehensively when establish the model to find the optimal maintenance strategy. Finally, an example is given to verify the efficiency of the model. The research methodology can provide effective support to bridge maintenance management decision-maker for making management strategies.

scholarly journals Economic Analysis for Setting Appropriate Repair Cycles on the Fixed Materials and Facilities in the Public Rental Housing

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Sung-Min Choi ◽  
Yeon-Sil Lee
Keyword(s):  
Life Cycle ◽  
Economic Analysis ◽  
Life Cycle Cost ◽  
Rental Housing ◽  
The Public ◽  
Public Rental Housing ◽  
Maintenance Cycle ◽  
Minimum Age ◽  
Optimal Maintenance ◽  
The Cost

Currently, repair and maintenance cycles that follow the completion of construction facilities lead to the necessitation of subsequent data on the analysis of study and plan for maintenance. As such, an index of evaluation was drafted and a plan of maintenance cycle was computed using the investigation data derived from surveying target housing units in permanent rental environmental conditions, with a minimum age of 20 years, and their maintenance history. Optimal maintenance and replacement methods were proposed based on this data. Economic analysis was conducted through the Risk-Weighted Life Cycle Cost (RWLCC) method in order to determine the cost analysis of maintenance life cycle methods used for repair. Current maintenance cycle methods that have been used for 20 years were also compared with alternative maintenance cycles.

scholarly journals Research on Multi-Attribute Decision-Making in Condition-Based Maintenance for Power Transformers Based on Cloud and Kernel Vector Space Models

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5948
Author(s):  
Renxi Gong ◽  
Siqiang Li ◽  
Weiyu Peng
Keyword(s):  
Decision Making ◽  
Vector Space ◽  
Assessment System ◽  
Condition Based Maintenance ◽  
Power Transformers ◽  
Maintenance Strategy ◽  
Cloud Models ◽  
Optimal Maintenance ◽  
Maintenance Decision ◽  
Vector Space Models

Decision-making for the condition-based maintenance (CBM) of power transformers is critical to their sustainable operation. Existing research exhibits significant shortcomings; neither group decision-making nor maintenance intention is considered, which does not satisfy the needs of smart grids. Thus, a multivariate assessment system, which includes the consideration of technology, cost-effectiveness, and security, should be created, taking into account current research findings. In order to address the uncertainty of maintenance strategy selection, this paper proposes a maintenance decision-making model composed of cloud and vector space models. The optimal maintenance strategy is selected in a multivariate assessment system. Cloud models allow for the expression of natural language evaluation information and are used to transform qualitative concepts into quantitative expressions. The subjective and objective weights of the evaluation index are derived from the analytic hierarchy process and the grey relational analysis method, respectively. The kernel vector space model is then used to select the best maintenance strategy through the close degree calculation. Finally, an optimal maintenance strategy is determined. A comparison and analysis of three different representative maintenance strategies resulted in the following findings: The proposed model is effective; it provides a new decision-making method for power transformer maintenance decision-making; it is simple, practical, and easy to combine with the traditional state assessment method, and thus should play a role in transformer fault diagnosis.

Design for maintenance: new algorithmic approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oussama Adjoul ◽  
Khaled Benfriha ◽  
Améziane Aoussat
Keyword(s):  
Genetic Algorithms ◽  
Life Cycle ◽  
Life Cycle Cost ◽  
Multicomponent System ◽  
Systems Design ◽  
Simultaneous Optimization ◽  
Product Architecture ◽  
Design Stage ◽  
Content Type ◽  
Optimal Maintenance

PurposeThis paper proposes a new simultaneous optimization model of the industrial systems design and maintenance. This model aims to help the designer in searching for technical solutions and the product architecture by integrating the maintenance issues from the design stage. The goal is to reduce the life-cycle cost (LCC) of the studied system.Design/methodology/approachLiterature indicates that the different approaches used in the design for maintenance (DFM) methods are limited to the simultaneous characterization of the reliability and the maintainability of a multicomponent system as well as the modeling of the dynamic maintenance. This article proposes to go further in the optimization of the product, by simultaneously characterizing the design, in terms of reliability and maintainability, as well as the dynamic planning of the maintenance operations. This combinatorial characterization is performed by a two-level hybrid algorithm based on the genetic algorithms.FindingsThe proposed tool offers, depending on the life-cycle expectation, the desired availability, the desired business model (sales or rental), simulations in terms of the LCCs, and so an optimal product architecture.Research limitations/implicationsIn this article, the term “design” is limited to reliability properties, possible redundancies, component accessibility (maintainability), and levels of monitoring information.Originality/valueThis work is distinguished by the use of a hybrid optimization algorithm (two-level computation) using genetic algorithms. The first level is to identify an optimal design configuration that takes into account the LCC criterion. The second level consists in proposing a dynamic and optimal maintenance plan based on the maintenance-free operating period (MFOP) concept that takes into account certain criteria, such as replacement costs or the reliability of the system.

Optimizing Ship Machinery Maintenance Scheduling Through Risk Analysis and Life Cycle Cost Analysis

2006 ◽  
Author(s):  
Lahar Baliwangi ◽  
Kenji Ishida ◽  
Hidetoshi Arima ◽  
Ketut Buda Artana
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Risk Evaluation ◽  
System Modeling ◽  
Scheduling Algorithm ◽  
Maintenance Scheduling ◽  
Maintenance Cost ◽  
Penalty Cost ◽  
Maintenance Schedule ◽  
Optimal Maintenance

Ship maintenance scheduling management integrated with risk evaluation and Life Cycle Cost (LCC) assessment approach is developed in this research. It improves upon existing practices in arranging an optimal maintenance schedule by modeling operational and economical risks. This paper researches maintenance scheduling algorithm with explicitly consider risks associated with some operation problems such as operating schedule, routes, ship position, resources availability, and achievement of reliability-availability-maintainability (RAM) of system. Modeling of components RAM with their failures consequences results risk evaluation. Time value of maintenance cost, replacement cost, earning rate, and penalty cost are also simulated. When the system reaches the lowest level of lower limit reliability, one or more components should be maintained or replaced. Since maintenance task may interrupt the operation, to minimize time-to-maintain all possible events of maintaining other components at the same time will be evaluated together with resources availability. By researching those possibilities, constraining the risk, and based on LCC calculation result, an optimal maintenance scheduling can be then well established.

The Maintenance Strategy of Electric Equipments Based on the Least Average Annual Cost

2011 ◽  
Vol 383-390 ◽  
pp. 5990-5996
Author(s):  
Jia Jia Huan ◽  
Bo Li ◽  
Hai Feng Li ◽  
Gang Wang
Keyword(s):  
Life Cycle Cost ◽  
Operating Cost ◽  
Comprehensive Analysis ◽  
Economic Life ◽  
Power Grids ◽  
Maintenance Strategy ◽  
Life Model ◽  
Average Annual Cost ◽  
Optimal Maintenance ◽  
Relevant Factors

With the enlarging scale of power grids, the quantity of electric equipments is increasing and their quality is improving. Therefore, the optimizing management of equipments, which is an important act to reduce investment and increase economic benefit of power grids, has been paid more and more attention. This paper makes a comprehensive analysis of factors that influence the life cycle cost of electric equipments. Considering the risk of power grid caused by the fault of equipments and other relevant factors, the economic life model is established and the judgment about the optimal maintenance strategy is proposed. The proposed maintenance strategy is conducive to save the operating cost of power grids and optimize the investment. Also, it can promote the refined management and provide reference decisions for electric utilities to plan and adjust equipments operating better.

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