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| Research on fault diagnosis of power transformer based on classification decision tree algorithm |
| Wang Tao1, Sun Zhipeng2, Cui Qing1, Zhang Zhilei1, Zhang Tianwei3 |
1. Hebei Electric Power Company Shijiazhuang Power Supply Company, Shijiazhuang 050051;
2. College of Electrical Engineering, Northeast Electric Power University, Jilin, Jilin 132012;
3. Beijing Runwei Tianhua Power Technology Co., Ltd, Beijing 102211 |
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Abstract Power transformers are the most important power equipment in the stable operation of power systems. Fault identification of power transformers has always been a top priority for all power work. In recent years, with the development of artificial intelligence, many intelligent algorithms have been introduced into the research of power transformer faults. In this paper, a power tree fault diagnosis model based on decision tree algorithm is proposed. Compared with other classification models, this model has the advantages of high classification accuracy, fast calculation speed, no need for any domain knowledge and parameter assumptions, and easy implementation etc.
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Received: 05 May 2019
Published: 19 November 2019
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| Cite this article: |
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Wang Tao,Sun Zhipeng,Cui Qing等. Research on fault diagnosis of power transformer based on classification decision tree algorithm[J]. Electrical Engineering, 2019, 20(11): 16-19.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2019/V20/I11/16
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2019, Vol. 20 
