A life cycle cost-effectiveness assessment model for power transformer selection based on grey correlation analysis

2014 ◽  
Author(s):  
Xiao-pin Deng ◽  
Yi-yi Zhang ◽  
Yue Tong ◽  
Bin Liu
Keyword(s):  
Life Cycle ◽  
Cost Effectiveness ◽  
Correlation Analysis ◽  
Life Cycle Cost ◽  
Power Transformer ◽  
Assessment Model ◽  
Grey Correlation ◽  
Grey Correlation Analysis ◽  
Effectiveness Assessment ◽  
Cost Effectiveness Assessment

A cost-effectiveness assessment model using grey correlation analysis for power transformer selection based on life cycle cost

Kybernetes ◽  
2014 ◽  
Vol 43 (1) ◽  
pp. 5-23 ◽  
Author(s):  
Yiyi Zhang ◽  
Ruijin Liao ◽  
Lijun Yang ◽  
Xiaopin Deng ◽  
Huanchao Cheng ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Correlation Analysis ◽  
Life Cycle Cost ◽  
Power Transformer ◽  
Evaluation Model ◽  
Content Type ◽  
Grey Correlation ◽  
Investment Program ◽  
Investment Evaluation ◽  
Grey Correlation Analysis

Purpose – Statistics show that selecting the best investment program based on both cost and effectiveness can avoid financial losses. However, investment evaluation of a power transformer is full of uncertainty as it is hard to obtain accurate and useful cost-effectiveness results. Therefore, the purpose of the paper is to establish an investment evaluation model. Design/methodology/approach – The cost-effectiveness evaluation model in this study used grey correlation analysis for the power transformer selection based on life cycle cost (LCC). Indices of cost and effectiveness factors were chosen to form a three-level index system including quantitative and qualitative factors. Evidential reasoning was applied to quantify the qualitative indexes. Grey correlation analysis was applied to select the best investment program. Findings – The results from this study show that the proposed approach is effective and offers a new approach to evaluating transformer investment. Practical implications – The model was applied to an investing decision-making problem of the transformer in a new substation in Wuhan, China. Originality/value – It is very important to select the best transformer program in the candidate investment programs because the investment program decides almost 70 percent of the LCC of the power transformer.

Regional Land Subsidence Vulnerability Assessment Based on Grey Correlation Analysis

2012 ◽  
Vol 170-173 ◽  
pp. 1265-1268
Author(s):  
Yu Chen ◽  
Long Cang Shu
Keyword(s):  
Correlation Analysis ◽  
Land Subsidence ◽  
Vulnerability Assessment ◽  
Public Awareness ◽  
Jiangsu Province ◽  
Assessment Model ◽  
Grey Correlation ◽  
Social And Economic Development ◽  
Grey Correlation Analysis ◽  
Regional Land

It is well-known that land subsidence seriously affects the regional social and economic development and becomes a world-wide problem. Xixi-Chengnan district, Jiangsu province is one of the most important area affected by land subsidence in China. The damage of the hazard to physical, social, economical and environmental systems has been increasing during recent years, which mainly caused by the long period groundwater overexpolitation in the area. This research presents a vulnerability assessment model based on grey correlation analysis (GCA) for the regional land subsidence in Xixi-Chengnan district of Jiangsu province, by the assessment results, the rank of relative vulnerability of each township in the study area can be obtained without weighting and aggregating the vulnerbaility indicators and with avoiding the subjectivity of weighting in general vulnerability evaluation methods. The study can be expected to raise public awareness of land subsidence risk and vulnerability, lay the foundation for risk decision-making, and provide theories and technological supports for taking comprehensive and active measures to prevent and alleviate land subsidence vulnerability.

scholarly journals Safety Risk Assessment of a Pb-Zn Mine Based on Fuzzy-Grey Correlation Analysis

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 130 ◽  
Author(s):  
Guofang Dong ◽  
Wei Wei ◽  
Xu Xia ◽  
Marcin Woźniak ◽  
Robertas Damaševičius
Keyword(s):  
Risk Assessment ◽  
Correlation Analysis ◽  
Risk Evaluation ◽  
Assessment Model ◽  
Mine Safety ◽  
Property A ◽  
Safety Risk ◽  
Grey Correlation ◽  
Model Based ◽  
Grey Correlation Analysis

Improving safety management and risk evaluation methods is important for the global mining industry, which is the backbone of the industrial development of our society. To prevent any accidental loss or harm to human life and property, a safety risk assessment method is needed to perform the continuous risk assessment of mines. Based on the requirements of mine safety evaluation, this paper proposes the Pb-Zn mine safety risk evaluation model based on the fuzzy-grey correlation analysis method. The model is compared with the risk assessment model based on the fuzzy TOPSIS method. Through the experiments, our results demonstrate that the proposed fuzzy-grey correlation model is more sensitive to risk and has less effect on the evaluation results under different scoring attitudes (cautious, rational, and relaxed).

Power Transformer Fault Diagnosis Based on Vibration Correlation Analysis

2014 ◽  
Author(s):  
Kaixing Hong ◽  
Hai Huang
Keyword(s):  
Fault Diagnosis ◽  
Correlation Analysis ◽  
Fundamental Frequency ◽  
Vibration Analysis ◽  
Laboratory Tests ◽  
Power Transformer ◽  
Assessment Model ◽  
Vibration Method ◽  
Proposed Model ◽  
Transformer Fault

In this paper, a condition assessment model using vibration method is presented to diagnose winding structure conditions. The principle of the model is based on the vibration correlation. In the model, the fundamental frequency vibration analysis is used to separate the winding vibration from the tank vibration. Then, a health parameter is proposed through the vibration correlation analysis. During the laboratory tests, the model is validated on a test transformer, and manmade deformations are provoked in a special winding to compare the vibrations under different conditions. The results show that the proposed model has the ability to assess winding conditions.

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