Evaluation of Radiometric Localization Techniques Based on the Intensity of the Received Signal

被引:0
作者
Alves, L. F. B. [1 ]
Silva, A. D. C. [1 ]
Nobrega, L. A. M. M. [1 ]
Xavier, G. V. R. [2 ]
机构
[1] Univ Fed Campina Grande, Elect Engn Dept, Campina Grande, Paraiba, Brazil
[2] Univ Fed Sergipe, Elect Engn Dept, Sao Cristovao, Brazil
来源
2024 8TH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SYSTEMS, CIRCUITS AND TRANSDUCERS, INSCIT 2024 | 2024年
关键词
envelope detection; localization; partial discharges; PARTIAL DISCHARGE;
D O I
10.1109/INSCIT62583.2024.10693389
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
This paper presents an analysis of the efficacy of radiometric localization techniques for partial discharges sources, utilizing received signal strength. Tests in experimental setups with dimensions ranging from 2 x 2 m to 6 x 4 m with two different sources to emulate the phenomena were employed: a controlled source and an oil cell. In addition, the envelope detection was evaluated for this purpose. The techniques based on amplitude made the detection and localization of PD sources more practical and feasible. The location errors are around 0.25 m indicates that these techniques are promising and could help to reduce the costs associated with partial discharges monitoring processes.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Relative nodes localization in wireless networks using received strength signal variations
    Bouassida, Mohamed Salah
    Shawky, Mohamed
    [J]. WINSYS 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON WIRELESS INFORMATION NETWORKS AND SYSTEMS, 2008, : 195 - 202
  • [42] Received Signal Strength based Indoor Positioning with RFID
    Sasikala, M.
    Athena, J.
    Rini, A. Sheela
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON RFID TECHNOLOGY AND APPLICATIONS (RFID-TA), 2021, : 260 - 263
  • [43] A Secure Received Signal Strength based Indoor Localization Algorithm Using OS-ELM and Clustering Analysis Technique
    Lu, Peibin
    Cao, Yanhua
    Yan, Jun
    [J]. PROCEEDINGS OF 2019 IEEE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION AND COMMUNICATION TECHNOLOGY (ICEICT 2019), 2019, : 242 - 246
  • [44] Feature Optimization Integrated With Hybrid Regression Based Machine Learning Using Received Signal Strength Measurements for Indoor Localization
    Liu, Shengmei
    Yang, Xiao
    [J]. CONFERENCE PROCEEDINGS OF 2019 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (IEEE ICSPCC 2019), 2019,
  • [45] Underwater Localization using Received Signal Strength of Electromagnetic Wave with Obstacle Penetration Effects
    Park, Daegil
    Kwak, Kyungmin
    Kim, Jinhyun
    Li, Ji-Hong
    Chung, Wan Kyun
    [J]. IFAC PAPERSONLINE, 2019, 52 (21): : 372 - 377
  • [46] IRS-Aided Received Signal Strength Localization Using a Wireless Sensor Network
    Motie, Samaneh
    Zayyani, Hadi
    Korki, Mehdi
    [J]. IEEE COMMUNICATIONS LETTERS, 2024, 28 (05) : 1039 - 1042
  • [47] Hybrid Localization of an Emitter by Combining Angle-of-Arrival and Received Signal Strength Measurements
    Chan, Y. T.
    Chan, F.
    Read, W.
    Jackson, B. R.
    Lee, B. H.
    [J]. 2014 IEEE 27TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2014,
  • [48] A Kriging Algorithm for Location Fingerprinting based on Received Signal Strength
    Liu, Chao
    Kiring, Aroland
    Salman, Naveed
    Mihaylova, Lyudmila
    Esnaola, Inaki
    [J]. 2015 WORKSHOP ON SENSOR DATA FUSION - TRENDS, SOLUTIONS, APPLICATIONS (SDF), 2015,
  • [49] Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning
    Raes, Willem
    Knudde, Nicolas
    De Bruycker, Jorik
    Dhaene, Tom
    Stevens, Nobby
    [J]. SENSORS, 2020, 20 (21) : 1 - 23
  • [50] Robustness Evaluation of Localization Techniques for Autonomous Racing
    Lim, Tian Yi
    Ghignone, Edoardo
    Baumann, Nicolas
    Magno, Michele
    [J]. 2024 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION, DATE, 2024,