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A fault diagnosis method based on dynamic multimodal fusion for power transformer
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Ruoquan ZHANG1, Huijuan RAN1, Jun XIE1, Kaiming TANG2
Insulating Materials | 2025, 58(5) : 107 - 115
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Insulating Materials | 2025, 58(5): 107-115
• Test and Analysis •
A fault diagnosis method based on dynamic multimodal fusion for power transformer
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Ruoquan ZHANG1, Huijuan RAN1, Jun XIE1, Kaiming TANG2
Affiliations
  • 1. Department of Electric Engineering, North China Electric Power University, Baoding 071003, China
  • 2. Yantai Power Supply Company, State Gird Shandong Electric Power Co., Ltd., Yantai 264001, China
Published: 2025-05-20 doi: 10.16790/j.cnki.1009-9239.im.2025.05.014
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In order to adapt to different on-site monitoring conditions, make full use of multimodal monitoring information, and improve the flexibility and accuracy of transformer fault diagnosis methods, a fault diagnosis method of power transformer based on dynamic multimodal fusion was proposed in this paper. The method introduced a dynamic fusion strategy, which firstly constructed a layer of modal selection network that can autonomously screen the input monitoring information and dynamically select the diagnostic modes to adapt to the different monitoring conditions on site. Secondly, it established corresponding diagnostic models for different input modes, and adopted the corresponding fusion method to diagnose under the non-single modal conditions for achieving the full utilization of the monitoring information of each modality. Finally, actual cases collected from multiple municipal bureaus were used for verification. The results show that the method proposed in this paper can effectively improve the flexibility and accuracy of transformer fault diagnosis results, and can be adapted to different monitoring conditions on site. Compared with other methods, the recognition accuracy of this method is higher, up to 97.33%, and the false alarm rate and missed alarm rate are the lowest.

transformer  /  fault diagnosis  /  flexibility  /  dynamic multimodal fusion
Ruoquan ZHANG, Huijuan RAN, Jun XIE, Kaiming TANG. A fault diagnosis method based on dynamic multimodal fusion for power transformer[J]. Insulating Materials, 2025 , 58 (5) : 107 -115 . DOI: 10.16790/j.cnki.1009-9239.im.2025.05.014
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2025.05.014
  • Receive Date：2024-06-19
  • Online Date：2025-12-04
  • Published：2025-05-20
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  • Received：2024-06-19
  • Revised：2024-08-30
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Affiliations
    1. Department of Electric Engineering, North China Electric Power University, Baoding 071003, China
    2. Yantai Power Supply Company, State Gird Shandong Electric Power Co., Ltd., Yantai 264001, China
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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