scholarly journals A condition-based opportunistic maintenance policy integrated with energy efficiency for two-component parallel systems

2018 ◽  
Vol 11 (4) ◽  
pp. 749
Author(s):  
Aiping Jiang ◽  
Yuanyuan Wang ◽  
Yide Cheng
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Sustainable Development ◽  
Parallel Systems ◽  
Condition Based Maintenance ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Two Component ◽  
Optimal Maintenance ◽  
Component Parallel

Purpose: In order to improve the energy utilization and achieve sustainable development, this paper integrates energy efficiency into condition-based maintenance(CBM) decision-making for two-component parallel systems. The objective is to obtain the optimal maintenance policy by minimizing total cost.Design/methodology/approach: Based on energy efficiency, the paper considers the economic dependence between the two components to take opportunistic maintenance. Specifically, the objective function consists of traditional maintenance cost and energy cost incurred by energy consumption of components. In order to assess the performance of the proposed new maintenance policy, the paper uses Monte-Carlo method to evaluate the total cost and find the optimal maintenance policy.Findings: Simulation results indicate that the new maintenance policy is superior to the classical condition-based opportunistic maintenance policy in terms of total economic costs.Originality/value: For two-component parallel systems, previous researches usually simply establish a condition-based opportunistic maintenance model based on real deterioration data, but ignore energy consumption, energy efficiency (EE) and their contributions of sustainable development. This paper creatively takes energy efficiency into condition-based maintenance(CBM) decision-making process, and proposes a new condition-based opportunistic maintenance policy by using energy efficiency indicator(EEI).

scholarly journals Synergies and Trade-Offs Between Sustainable Development and Energy Performance of Exterior Lighting

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2245 ◽  
Author(s):  
Annika K. Jägerbrand
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Sustainable Development ◽  
Energy Savings ◽  
Global Climate ◽  
Ecological Impact ◽  
Energy Performance ◽  
Positive Interactions ◽  
Systematic Analysis ◽  
Trade Offs

The aim of this review was to map synergies and trade-offs between sustainable development and energy efficiency and savings regarding exterior lighting. Exterior lighting, such as public road and street lighting, requires significant amounts of energy and hinders sustainable development through its increasing of light pollution, ecological impact, and global climate change. Interlinkages between indicators in sustainability and energy that have positive interactions will lead to a mutual reinforcement in the decision-making process, and vice versa, interlinkages between trade-offs may lead to unwanted and conflicting effects. Very few studies have presented a clear vision of how exterior lighting should be contributing to, and not counteracting, the sustainable development of our planet. This study was conducted through a theoretical and systematic analysis that examined the interactions between sustainable development and energy performance based on a framework using indicators and variables, and by reviewing the current literature. Additionally, 17 indicators of energy efficiency and energy savings were identified and used in the analysis. Most interactions between variables for sustainable development and energy performance (52%) were found to be synergistic. The synergistic interactions were mostly found (71%) in the ecological and environmental dimension showing that environmental and ecological sustainability goes hand in hand with energy efficiency and savings. Trade-offs were found only in the economic and social dimensions accounting for 18% of the interactions identified. This review shows that the interactions between sustainable development and energy performance can be used to establish more efficient policies for decision-making processes regarding exterior lighting.

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.

Framework Construction of Condition-Based Maintenance System

2010 ◽  
Vol 34-35 ◽  
pp. 1195-1199
Author(s):  
Y. Wang ◽  
J.Y. Qiao ◽  
Li Ma
Keyword(s):  
Condition Based Maintenance ◽  
Maintenance Policy ◽  
Work Process ◽  
Maintenance System ◽  
Maintenance Program ◽  
Large Numbers ◽  
Structural Frame ◽  
Optimal Maintenance ◽  
Optimal Maintenance Policy ◽  
Series Of Functions

The condition-based maintenance (CBM) is an advanced maintenance program that recommends optimal maintenance policy based on information collected through condition monitoring techniques. At present, CBM was paid attention to widely. The paper theoretically discussed the structure of a complete CBM system based upon the combing and analysis of the current large numbers of literatures of CBM. Firstly, CBM is introduced. Secondly, the three main stages of CBM work process is given. Finally, the basic structural frame of a complete CBM system is designed and constructed according to a series of functions CBM system should implement.

Opportunistic maintenance (OM) as a new advancement in maintenance approaches

2014 ◽  
Vol 20 (2) ◽  
pp. 98-121 ◽  
Author(s):  
Hasnida Ab-Samat ◽  
Shahrul Kamaruddin
Keyword(s):  
Current Trend ◽  
Replacement Policy ◽  
Practical Significance ◽  
Clear Understanding ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Content Type ◽  
Research Areas ◽  
Optimal Maintenance ◽  
Optimal Maintenance Policy

Purpose – This paper reviews the literature on opportunistic maintenance (OM) as new advance maintenance approach and policy. The purpose of this paper is to conceptually identify common principle and thereby provide absolute definition, concept and characteristics of this policy. Design/methodology/approach – A conceptual analysis was conducted on various literatures to clarify a number of principle and concepts as a method for understanding information on OM. The analysis involves the process of separating the compound terms used in the literatures into a few parts, analyse them and then recombining them to have more clear understanding of the policy. Findings – The paper discussed the maintenance approach, genealogy, principle, concept and applications of OM both in numerical analysis and real industry. OM policy is developed based on combination of age replacement policy and block replacement policy and in practical; OM is applied as the combination of corrective maintenance which is applied when any failure occurred, with preventive maintenance (PM) – a planned and scheduled maintenance approach to prevent failure to happen. Any machine shutdown or stoppages due to failure is the “opportunity” to conduct PM even though it is not as planned. The characterization of OM was provided in order to present its theoretical novelty for researchers and practical significance for industries. Practical implications – To date, there is no publication that reviews the OM in-depth and provides clear understanding on the topic. Therefore, this paper aims to show lineage of OM and the current trend in researches. This discussion will pave the way of new research areas on this optimal maintenance policy. Clear definition and principle of OM provided in this paper will trigger interest in its practicality as well as aid industries to understand and conduct OM in operation plant. Originality/value – This paper discussed the available literature about OM in various perspectives and scopes for further understanding of the topic by maintenance management professionals and researchers. Therefore, OM can be widely studied and applied in real industry as it is an effective and optimal maintenance policy.

Statistical and information based (physical) minimal repair for k out of n Systems

1998 ◽  
Vol 35 (3) ◽  
pp. 731-740 ◽  
Author(s):  
Philip J. Boland ◽  
Emad El-Neweihi
Keyword(s):  
Failure Time ◽  
Parallel Systems ◽  
Rate Function ◽  
Black Box ◽  
System Failure ◽  
Minimal Repair ◽  
Two Component ◽  
Component Parallel

The ‘minimal’ repair of a system can take several forms. Statistical or black box minimal repair at failure time t is equivalent to replacing the system with another functioning one of the same age, but without knowledge of precisely what went wrong with the system. Its major attribute is its mathematical tractability. In physical minimal repair, at system failure time t, we minimally repair the ‘component’ which brought the system down at time t. The work of Arjas and Norros, Finkelstein, and Natvig is reviewed. The concept of a rate function for minimal repairs of the statistical and physical types are discussed and developed. It is shown that the number of physical minimal repairs is stochastically larger than the number of statistical minimal repairs for k out of n systems with similar components. Some majorization results are given for physical minimal repair for two component parallel systems with exponential components.

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