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Study on acoustic signal characteristics of transformer oil discharges based on fiber Bragg grating sensor
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Bin Ren1, 2, Ziqian Ren1, Yin Liu2, Yonghai Xu1, Jie Sun2, Guoqiang Li2, Meng Huang1, *
Insulating Materials | 2026, 59(8) : 97 - 105
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Insulating Materials | 2026, 59(8): 97-105
• Insulation Technology •
Study on acoustic signal characteristics of transformer oil discharges based on fiber Bragg grating sensor
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Bin Ren1, 2, Ziqian Ren1, Yin Liu2, Yonghai Xu1, Jie Sun2, Guoqiang Li2, Meng Huang1, *
Affiliations
  • 1State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
  • 2State Grid Beijing Electric Power Company, Beijing 100073, China
Published: 2026-08-20 doi: 10.16790/j.cnki.1009-9239.im.2026.08.011
Outline
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Acoustic signal is the key characteristic parameters for identifying partial discharges (PD) in power transformers. To address the limitations of conventional PD monitoring techniques, such as weak anti-electromagnetic interference and inability to achieve internal deployment, a fiber Bragg grating (FBG) with a frequency range of 5-60 kHz covering audible sound and low-frequency ultrasound was designed in this paper. The sensor was employed to monitor acoustic signal during the discharge process between column-column electrodes in transformer oil, and the frequency domain gravity center and audible acoustic energy proportion of acoustic signal were extracted. Further, the prepared sensor was embedded within a full-scale transformer to verify its monitoring effectiveness for the internal discharge sound signals of transformer. The results show that the dominant frequency bands of the column-column electrode discharge acoustic signals in transformer oil are within the range 5-10  kHz and 46-60  kHz, and the frequency domain gravity center and the audible acoustic energy proportion of the acoustic signal show a trend of increasing first and then decreasing with discharge severity. The proposed FBG sensor can effectively monitor the discharge development in the ±400 kV converter transformer.

transformer  /  partial discharge  /  fiber Bragg grating  /  acoustic sensor  /  voiceprint characteristics
Bin Ren, Ziqian Ren, Yin Liu, Yonghai Xu, Jie Sun, Guoqiang Li, Meng Huang. Study on acoustic signal characteristics of transformer oil discharges based on fiber Bragg grating sensor[J]. Insulating Materials, 2026 , 59 (8) : 97 -105 . DOI: 10.16790/j.cnki.1009-9239.im.2026.08.011
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Article Info
doi: 10.16790/j.cnki.1009-9239.im.2026.08.011
  • Receive Date：2025-06-27
  • Online Date：2026-09-10
  • Published：2026-08-20
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  • Received：2025-06-27
  • Revised：2025-11-12
Affiliations
    1State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
    2State Grid Beijing Electric Power Company, Beijing 100073, China
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https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2026.08.011
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表12种不同金属材料的力学参数
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
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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