International Journal of Frontiers in Engineering Technology, 2021, 3(9); doi: 10.25236/IJFET.2021.030909.
Qiannan Fan1, Xia Yang1, Shihe Zhao2
1 State Grid Tian Jin Economic Research Institute, Tianjin, China
2 School of Mathematics and Physics, North China Electric Power University, Beijing, China
The scale of the power system has been expanding year by year, and the society’s demand for power system equipment has also increased sharply. Therefore, the assessment of the life of power system equipment is of great significance to improving the safe, reliable, economical and efficient operation of the power grid. This article will use the Pearson product moment correlation coefficient to evaluate the factors that affect the life of transformer equipment, and explore the correlation between transformer life and installation location, voltage level, cooling mode and other influencing factors to explore the impact of these attributes on transformer life. To provide data support for improving the precision investment level of equipment, and to provide guidance and suggestions for the procurement of power grid enterprises.
Correlation analysis, Pearson product moment correlation coefficient, Equipment life, Transformer
Qiannan Fan, Xia Yang, Shihe Zhao. Evaluate the Influencing Factors of Transformer Equipment Life Based on Correlation Analysis. International Journal of Frontiers in Engineering Technology (2021), Vol. 3, Issue 9: 52-55. https://doi.org/10.25236/IJFET.2021.030909.
[1] Wu Guosen. Data analysis of health inspection in transformer life cycle [J]. Techniques of Automation and Applications,2019,38(09):102-107+128.
[2] Sui Huanran. Research on the evaluation of the remaining life of the power transformer [D]. North China Electric Power University, 2014.
[3] TAN Kun Yu. State assessment and life prediction of power transformers [D]. Hunan University,2018.
[4] Zhao Longlong. Power transformer health accessment cloudapplication based on association model[J]. Electrotechnics Electric,2020(04):39-43.
[5] WANG Haozhou. Research on Life loss of transformer based on machine learning algorithm[J]. Electrotechnical Application, 201, 40(01):72-78.
[6] ZHAO Zidong. Technical Life evaluation of power transformer based on Fuzzy analytic Hierarchy Process [J]. China Plant Engineering, 2017(12):161-163.
[7] Song Lingli, Deng Changhong, Wu Yaowen, etc. Evaluation index of power grid equipment [J]. China Power, 2012,45 (09): 85-90.