Fuzzy AHP in prioritizing feeders for maintenance in nuclear power plants

Srividya, A.; Suresh, Harishankar; Verma, Ajit Kumar

doi:10.1109/ieem.2007.4419169

Cited by 9 publications

(3 citation statements)

References 8 publications

(9 reference statements)

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“…AHP is a decision making technique that involves creating a hierarchy to assess a set of alternatives pertaining to a certain aim [20, 21]. Due to its easy and coherent approach that caters both qualitative and quantitative evaluation as well as its comprehensive nature of combining insights, intuition and experience with mathematics and data [21–25], this relatively new technique has extensively been applied in wide ranging fields such as defence, aviation, health, IT, manufacturing, banking and more recently in power system [20, 22, 24–28]. In this work, AHP will be applied on the oil test parameters to devise a set of weightages for those parameters.…”

Section: Methodsmentioning

confidence: 99%

Insulation condition ranking of transformers through principal component analysis and analytic hierarchy process

Tee¹,

Liu²,

Wang³

2017

IET Generation, Transmission & Distribution

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Section: Methodsmentioning

confidence: 99%

Insulation condition ranking of transformers through principal component analysis and analytic hierarchy process

Tee¹,

Liu²,

Wang³

2017

IET Generation, Transmission & Distribution

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“…Fuzzy comprehensive evaluation method firstly blurs the single factor according to the judgment criterion [30] [31]. At the same time, it determines the degree of importance on each single factor relative to reference factor according to the theory of fuzzy comprehensive evaluation.…”

Section: Measurement the Parameter Of Risk Entropy Model By Fuzzy mentioning

confidence: 99%

Research on the Effectiveness Evaluation and Risk Optimization of Crime Prevention System Based on Fuzzy Theory and AHP Model

Yang¹

2011

JCP

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with the rapid development of industrialization, security situation becomes more and more serious in China. Many cities have established crime prevention systems in order to maintain social stability. With the number of crime prevention system increasing, we need to assess their effectiveness in a scientific and objective manner and establishes a risk optimization model on crime prevention system. In this paper, we first apply the Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods in the model analysis. We not only solve the problem of interference on subject factors in traditional qualitative method for crime prevention system, but also improve the assessment objectively. In the next stage, we conduct the simulation experiment according to the specific examples of crime prevention system. The case study shows that the assessment results are consistent with the reality and this method can be reasonably used for the effectiveness evaluation of crime prevention system. Finally, combinatorial optimization technology is used to calculate the risk optimization model and a concrete example is given out to verify the model reasonably. We believe this work contributes to the theoretical framework guiding the design, development, and deployment of the crime prevention system.

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“…This prioritization method is applied in the following sections to a fleet of circuit breakers. Most of the case studies using AHP have been applied to generators and fuzzy AHP methods seem to be the most commonly applied (Srividya et al, 2007). While there is some work in the area of AHP in power plant maintenance, none deal directly with circuit breaker or transformer maintenance.…”

Section: Iiic Fleet Prioritization Model Using Ahpmentioning

confidence: 99%

Smart Maintenance Decision Support Systems (SMDSS)

Bumblauskas

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This paper is a case study investigating the importance of relationship or interaction between series-connected dependent system components in maintenance decisions. A continuous-time Markov decision model is applied to find minimum cost maintenance policies in the case of electrical power equipment. Two models are formulated, one considering an independent and a dependent component, and the other considering only the independent component, to compare the optimal maintenance policies for the independent component. Maintenance of the dependent component is included implicitly in terms of the costs associated with certain state-action pairs. A circuit breaker is considered as the independent component and a transformer is considered as the dependent component. Data to specify the models are based on mean times for failure and repair of the system components obtained from industry. After uniformizing the continuous-time models to discrete time, standard methods are used to solve for the average-cost-optimal policies of each model.

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Fuzzy AHP in prioritizing feeders for maintenance in nuclear power plants

Cited by 9 publications

References 8 publications

Insulation condition ranking of transformers through principal component analysis and analytic hierarchy process

Insulation condition ranking of transformers through principal component analysis and analytic hierarchy process

Research on the Effectiveness Evaluation and Risk Optimization of Crime Prevention System Based on Fuzzy Theory and AHP Model

Smart Maintenance Decision Support Systems (SMDSS)

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