The strategy research on electrical equipment condition-based maintenance based on cloud model and grey D-S evidence theory

2018 ◽  
Vol 12 (3) ◽  
pp. 283-292 ◽  
Author(s):  
Shuaishuai Lin ◽  
Cunbin Li ◽  
Fangqiu Xu ◽  
Wenle Li
Keyword(s):  
Cloud Model ◽  
Evidence Theory ◽  
Electrical Equipment ◽  
Condition Based Maintenance ◽  
Strategy Research

Decision-Making Method for Electrical Equipment Condition-Based Maintenance

2015 ◽  
Vol 16 (4) ◽  
pp. 349-355 ◽  
Author(s):  
Wei Zeng ◽  
Feng Jiang ◽  
Qin Shun Zeng ◽  
Yuanyu Ye ◽  
Ruixiang Fan
Keyword(s):  
Decision Making ◽  
Cloud Model ◽  
Rapid Development ◽  
Electrical Equipment ◽  
Condition Based Maintenance ◽  
Grey Correlation ◽  
Correlation Degree ◽  
Relative Closeness ◽  
Grid Construction ◽  
Grey Correlation Degree

Abstract With the rapid development of power grid construction, appropriate maintenance can bring great benefits to the electricity company. On the contrary, it will cause sacrifices, even effect the development of economy. Thus, electrical equipment condition-based maintenance plays a key role to assure healthy operation of electrical equipment and improve power supply reliability. Under the background, in this paper, we combine the Cloud Model with TOPSIS which is improved by Grey Correlation Theory and propose a new decision-making method for electrical equipment condition-based maintenance. In this method, Cloud Model is used to solve the fuzziness and randomness of uncertain linguistic sets in the progress of decision-making. At the same time, we integrate the grey correlation degree into TOPSIS, and calculate the comprehensive relative closeness. Through the numerical example and comparing the sensitivity of some related methods about decision-making, the method in this is proved to be credibility. The basis of electrical equipment condition-based maintenance decision-making can be provided and supply dispatcher decision-making reference when arrange the CBM plan.

Decision-Making Method for Electrical Equipment Condition-Based Maintenance

ENERGYO ◽  
2018 ◽  
Author(s):  
Wei Zeng ◽  
Feng Jiang ◽  
Qin Shun Zeng ◽  
Yuanyu Ye ◽  
Ruixiang Fan
Keyword(s):  
Decision Making ◽  
Electrical Equipment ◽  
Condition Based Maintenance

Information Fusion Algorithm for Electromechanical Equipment Based on DS Evidence Theory

2013 ◽  
Vol 380-384 ◽  
pp. 1125-1128 ◽  
Author(s):  
Yao Hui Zhang ◽  
Jun Xu ◽  
Kang Du
Keyword(s):  
Information Fusion ◽  
Evidence Theory ◽  
Prediction Method ◽  
Electrical Equipment ◽  
Fusion Algorithm ◽  
State Prediction ◽  
Level Information ◽  
The Difference ◽  
Equipment State ◽  
Electromechanical Equipment

According to the problem that the difference of test mode, mixed quantitative and qualitative information of electromechanical equipment state prediction, a state prediction method based on information fusion was proposed in this paper. It was used DS evidence theory to fuse decision level information of electromechanical equipments at this method. Simulation results showed that it is feasible and effective that information fusion technology is applied on the state prediction for mechanical and electrical equipment. Information for decision-making integrated repeatedly by different forecasting methods, can greatly reduce the blindness of judgment and improve the accuracy of state prediction.

scholarly journals Structural damage detection based on cloud model and Dempster-Shafer evidence theory

2018 ◽  
Vol 20 (2) ◽  
pp. 909-922 ◽  
Author(s):  
Huiyong Guo ◽  
Liang Tian ◽  
Xinyu Zhou ◽  
Yushan Wang
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Cloud Model ◽  
Evidence Theory ◽  
Structural Damage Detection

scholarly journals Evaluation of Concrete Durability Based on Cloud Model and D-S Evidence Theory

2022 ◽  
Vol 2148 (1) ◽  
pp. 012054
Author(s):  
Sai Yang ◽  
Jinlong Huang ◽  
Yawei Qin ◽  
Xianguo Wu
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Mass Loss Rate ◽  
Evidence Theory ◽  
Concrete Durability ◽  
Chloride Permeability ◽  
Evaluation Standard ◽  
Evaluation Indexes ◽  
Theory Evaluation ◽  
Durability Of Concrete

Abstract The environment in alpine region is complex and harsh, and the durability of concrete is seriously affected by freeze-thaw and salt invasion. In this paper, the relative dynamic modulus of elasticity, chloride permeability coefficient, mass loss rate and carbonation depth are selected as the evaluation indexes of concrete durability in Northeast China. Based on prior knowledge and expert group decision-making, the durability grade is divided and the evaluation standard is established; The evaluation model of concrete durability based on cloud model and D-S evidence theory is established. According to the engineering experimental data, the membership degree of concrete durability evaluation index in different grades is obtained through the correlation measurement of cloud model. The normalized evidence is formed and fused by D-S evidence theory. The results show that the durability grade of concrete is grade I, which is consistent with the actual project. It shows that using cloud model and evidence theory evaluation model to evaluate the durability of concrete is a new and effective method.

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