Research on standardized evaluation model of status detection data on power equipment based on AHP

2nd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Meng, Ke^1 ; Mao, Guanghui^2 ; Liang, Hongchi^3 ; Zhang, Yugang^2 ; Wen, Dingyun^4 ; Wen, Honggang^4

School of Power and Mechanical, Wuhan University, Hubei, China^1

State Grid Gansu Electric Power Company, Gansu, China^2

State Grid Fujian Electric Power Company, Fujian, China^3

Gansu Electric Power Research Institute, Gansu, China^4

关键词: Deep mining;    Empirical evaluations;    Entropy methods;    Evaluation modeling;    Index weight;    Operation and maintenance;    Power equipment;    Status detections;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/4/042020/pdf
DOI  :  10.1088/1755-1315/170/4/042020

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The power equipment produces a large number of status detection data during daily operation and maintenance, and most of the data is unstructured. So it makes against to the efficient processing and the deep mining of data. This article illustrates an empirical evaluation model for the status detection data of power equipment, and the model is modified by entropy method, then sorts schemes by index weights. A new evaluation model is provided to the standardization and efficient utilization of data for status detection data of power equipment, which provides strong support and guarantee for status assessment and diagnosis analysis of power equipment.