Noncontacting Electromagnetic-Acoustic Measurement Technique for Partial Discharge Detection and Localization

被引:0
|
作者
Hong, Kai-Dong [1 ,2 ]
Wang, Xixi [2 ]
Wang, Wensong [2 ]
Zheng, Yuanjin [2 ]
机构
[1] Shenzhen Technol Univ, Coll Integrated Circuits & Optoelect Chips, Shenzhen 518118, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
关键词
Coils; Sensors; Magnetic fields; Spirals; Capacitors; Broadband antennas; RLC circuits; Electromagnetic-acoustic (EMA) measurement technique; high credibility; high integration; noncontacting detection; partial discharge (PD) localization; SENSOR;
D O I
10.1109/TMTT.2024.3452936
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Partial discharge (PD) detection is crucial for maintaining insulation systems of high-voltage equipment. Enhancing diagnostic credibility and expanding additional system functionalities can be achieved by correlating signals detected from multiple measurement techniques. In this article, a noncontacting electromagnetic-acoustic (EMA) measurement technique is proposed for high-accuracy PD detection and localization. The proposed method integrates a wideband electromagnetic (EM) sensor with 3-D omnidirectional sensing property and a broadband high-sensitivity acoustic emission (AE) sensor based on a third-order resonator and meta-focusing lens. To verify the feasibility of the proposed measurement technique, a prototype of the integrated sensor is fabricated, and extensive experiments are performed. The experimental results demonstrate that the proposed EMA sensor can not only provide the 3-D omnidirectional sensing for EM PD but also ensure the broadband highly sensitive detection for AE PD coherently, which indeed enhance the PD diagnosis credibility and expand system functionalities. This innovative approach provides notable advantages over existing methods, showcasing its superior potential for PD detection and localization.
引用
收藏
页码:1632 / 1644
页数:13
相关论文
共 50 条
  • [31] The Image Study of Partial Discharge Location by Acoustic Measurement
    Ma Ao
    Dong Ming
    Rong Shuaiang
    2016 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (CMD), 2016, : 733 - 736
  • [32] Single-Sensor Based Acoustic Time Reversal Technique for Partial Discharge Localization in Power Transformer
    Rathod, Viral B.
    Kumbhar, Ganesh B.
    Bhalja, Bhavesh R.
    PROCEEDINGS OF 2021 5TH INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS (IEEE CATCON 2021), 2021, : 151 - 156
  • [33] Performance analysis of acoustic sensors based time reversal technique for partial discharge localization in power transformers
    Rathod V.B.
    Kumbhar G.B.
    Bhalja B.R.
    Electric Power Systems Research, 2023, 215
  • [34] A Method for the Localization of Partial Discharge Sources using Partial Discharge Pulse Information from Acoustic Emissions
    Ghosh, R.
    Chatterjee, B.
    Dalai, S.
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2017, 24 (01) : 237 - 245
  • [35] A Strategy to Determine Partial Discharge in XLPE Power Cables Using Acoustic Emission Detection Technique
    Jabha, D. F. Jingle
    Selvi, K.
    Joselin, R.
    JOURNAL OF TESTING AND EVALUATION, 2018, 46 (01) : 283 - 293
  • [36] Partial Discharge Detection Using a Spherical Electromagnetic Sensor
    Romano, Pietro
    Imburgia, Antonino
    Ala, Guido
    SENSORS, 2019, 19 (05)
  • [37] Automatic measurement system for partial discharge detection
    Carminati, Edoardo
    Energia Elettrica, 1988, 65 (09): : 385 - 391
  • [38] Acoustic partial discharge detection for dry type transformer
    Lai, CS
    Chou, YS
    Wu, PW
    Peng, TL
    8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VII, PROCEEDINGS: APPLICATIONS OF INFORMATICS AND CYBERNETICS IN SCIENCE AND ENGINEERING, 2004, : 343 - 347
  • [39] Distributed Partial Discharge Acoustic Signal Detection and Localization Technology for GIL With Built-in Fiber Optics
    Song, Yuxuan
    Tian, Haoyuan
    Jia, Zongqing
    Chen, Weigen
    Zhang, Weikai
    Wang, Changding
    Zhou, Tao
    Li, Litong
    Hong, Deng
    Wang, Yan
    Liu, Qingchun
    Liu, Hong
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2024, 42 (14) : 5068 - 5076
  • [40] Partial Discharge Detection and Localization in Power Transformers based on Acoustic Emission: Theory, Methods, and Recent Trends
    Rathod, Viral B.
    Kumbhar, Ganesh B.
    Bhalja, Bhavesh R.
    IETE TECHNICAL REVIEW, 2022, 39 (03) : 540 - 552