Abstract
The three ratios method of power transformer faults diagnosis based on decision tree with fuzzy logic propose in this study. The two major problems in the application of the IEC ratio method in transformer fault diagnosis are the lack of coding and the clear ratio range. Used the decision tree algorithm to solve the lack of coding problem. The fuzzy logic deals with the clear ratio range while ratio range displaced by the membership function. The simulation analysis of experimental data shown that the new method had more diagnostic accuracy, convenience and operability compared with the traditional IEC ratio method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
GB/T7252 - 2001 guide for analysis and determination of dissolved gas in transformer oil
Yang, Z.: Analysis of dissolved gas in transformer oil and discussion of judging transformer fault by guidance. Transformer 45(10), 24–26 (2008)
Safavian, S.R., Landgrebe, D.: A survey of decision tree classifier methodology. IEEE Trans. Syst. Man Cybern. 21(3), 660–674 (1991)
Fuzzy Mathematics and Its Application. Wuhan University Press (2007)
Chen, S.Y., Chang, Y.C., Pan, J.S.: Fuzzy rules interpolation for sparse fuzzy rule-based systems based on interval type-2 gaussian fuzzy sets and genetic algorithms. IEEE Trans. Fuzzy Syst. 21(3), 412–425 (2013)
Chen, S.M., Ko, Y.K., Chang, Y.C., Pan, J.S.: Weighted fuzzy interpolative reasoning based on weighted increment transformations and weighted ratio transformation techniques. IEEE Trans. Fuzzy Syst. 17(6), 1412–1427 (2009)
Chen, S.M., Wang, N.Y., Pan, J.S.: Forecasting enrollments using automatic clustering techniques and fuzzy logical relationships. Expert Syst. Appl. 36(8), 11070–11076 (2009)
State economic and trade commission of The People’s Republic of China: DL/T 722 - 2000 guidelines for dissolved gases and determination in transformer oil. China Electric Power Press, Beijing (2001)
Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81–106 (1986)
Zhou, J., Huang, X., Zou, J., et al.: Improved fuzzy algorithm for fault diagnosis of dissolved gas in transformer oil. Guangdong Electr. Power 3, 86–91 (2015)
Liang, J., Qu, Y.: Intelligent control technology. Harbin Institute of Technology Press (2016)
Li, L., Wan, Z.: Study on insulation fault diagnosis of power transformer based on fuzzy three ratio method. Zhejiang Electr. Power 30(2), 12–14 (2011)
Zhang, W., Yuan, J.: Transformer three ratio fault diagnosis method improved by b-spline theory. Chin. J. Electr. Eng. 34(24), 4129–4135 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Chang, CK., Shan, J., Chang, KC., Pan, JS. (2020). Insulation Faults Diagnosis of Power Transformer by Decision Tree with Fuzzy Logic. In: Pan, JS., Lin, JW., Liang, Y., Chu, SC. (eds) Genetic and Evolutionary Computing. ICGEC 2019. Advances in Intelligent Systems and Computing, vol 1107. Springer, Singapore. https://doi.org/10.1007/978-981-15-3308-2_35
Download citation
DOI: https://doi.org/10.1007/978-981-15-3308-2_35
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3307-5
Online ISBN: 978-981-15-3308-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)