Power Transformer Fault Diagnosis Based on Dissolved Gas Analysis by Correlation Coefficient-DBSCAN
School of Electrical Engineering and Automation, Wuhan University, Wuhan 430000, China
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Appl. Sci. 2020, 10(13), 4440; https://doi.org/10.3390/app10134440
Received: 3 June 2020
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Revised: 22 June 2020
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Accepted: 25 June 2020
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Published: 27 June 2020
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
The transformers work in a complex environment, which makes them prone to failure. Dissolved gas analysis (DGA) is one of the most important methods for oil-immersed transformers’ internal insulation fault diagnosis. In view of the high correlation of the same fault data of transformers, this paper proposes a new method for transformers’ fault diagnosis based on correlation coefficient density clustering, which uses density clustering to extrapolate the correlation coefficient of DGA data. Firstly, we calculated the correlation coefficient of dissolved gas content in the fault transformers oil and enlarged the correlation of the same fault category by introducing the amplification coefficient, and finally we used the density clustering method to cluster diagnosis. The experimental results show that the accuracy of clustering is improved by 32.7% compared with the direct clustering judgment without using correlation coefficient, which can effectively cluster different types of transformers fault modes. This method provides a new idea for transformers fault identification, and has practical application value.
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Keywords:
correlation coefficient; DBSCAN; fault diagnosis; transformer
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MDPI and ACS Style
Liu, Y.; Song, B.; Wang, L.; Gao, J.; Xu, R. Power Transformer Fault Diagnosis Based on Dissolved Gas Analysis by Correlation Coefficient-DBSCAN. Appl. Sci. 2020, 10, 4440. https://doi.org/10.3390/app10134440
AMA Style
Liu Y, Song B, Wang L, Gao J, Xu R. Power Transformer Fault Diagnosis Based on Dissolved Gas Analysis by Correlation Coefficient-DBSCAN. Applied Sciences. 2020; 10(13):4440. https://doi.org/10.3390/app10134440
Chicago/Turabian StyleLiu, Yongxin, Bin Song, Linong Wang, Jiachen Gao, and Rihong Xu. 2020. "Power Transformer Fault Diagnosis Based on Dissolved Gas Analysis by Correlation Coefficient-DBSCAN" Applied Sciences 10, no. 13: 4440. https://doi.org/10.3390/app10134440
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