Analysis of partial discharge signal using the Hilbert-Huang transform

被引:28
|
作者
Wang, Xiaodong [1 ]
Li, Baoqing
Liu, Zhiwei
Roman, Harry T.
Russo, Onofrio L.
Chin, Ken K.
Farmer, Kenneth R.
机构
[1] New Jersey Inst Technol, Dept Appl Phys, Newark, NJ 07102 USA
[2] PSE&G Co, Newark, NJ 07102 USA
关键词
partial discharge; fast Fourier transform (FFT); Hilbert-Huang transform (HHT);
D O I
10.1109/TPWRD.2005.861328
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
The development of time-frequency and time-scale transforms has progressed rapidly over the last 20 years. The development and progression of numerical acquisition enable the utilization of these mathematical tools to analyze partial, discharge in electrical equipment [1]-[3]. This paper introduces a new transform, a Hilbert-Huang Transform [3], to analyze partial discharge data. The mathematical model of a Hilbert-Huang Transform is described; and its application in a PD application shows its great advantage.
引用
收藏
页码:1063 / 1067
页数:5
相关论文
共 50 条
  • [31] An adaptive algorithm for frequency identification based on Hilbert-Huang transform
    Li, Zhong-Xian
    Bao, Chun-Xiao
    STRUCTURAL CONDITION ASSESSMENT, MONITORING AND IMPROVEMENT, VOLS 1 AND 2, 2007, : 875 - 887
  • [32] The study of the intermittency test filtering character of Hilbert-Huang transform
    Li, HL
    Yang, LH
    Huang, DR
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2005, 70 (01) : 22 - 32
  • [33] A Digital Image Stabilization Method Based on the Hilbert-Huang Transform
    Ioannidis, Konstantinos
    Andreadis, Ioannis
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 61 (09) : 2446 - 2457
  • [34] Bearing Fault Diagnosis Based on Improved Hilbert-Huang Transform
    Ma, Fenglei
    Chen, Xiaoshuai
    Du, Jilong
    PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING AND TRANSPORTATION 2015, 2016, 30 : 551 - 555
  • [35] Seismic Intensity Feature Construction Based on the Hilbert-Huang Transform
    Alvanitopoulos, Petros-Fotios
    Papavasileiou, Marios
    Andreadis, Ioannis
    Elenas, Anaxagoras
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2012, 61 (02) : 326 - 337
  • [36] Applying Hilbert-Huang Transform on PartialDischarge Pattern Recognition of a Gas Insulated Switchgear
    Chang, Hong-Chan
    Gu, Feng-Chang
    Kuo, Cheng-Chien
    PROCEEDINGS OF THE 2012 IEEE INTERNATIONAL POWER MODULATOR AND HIGH VOLTAGE CONFERENCE, 2012, : 165 - 168
  • [37] Time-Frequency Analysis of Scalp EEG With Hilbert-Huang Transform and Deep Learning
    Zheng, Jingyi
    Liang, Mingli
    Sinha, Sujata
    Ge, Linqiang
    Yu, Wei
    Ekstrom, Arne
    Hsieh, Fushing
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (04) : 1549 - 1559
  • [38] Applications of Hilbert-Huang transform to non-stationary financial time series analysis
    Huang, NE
    Wu, ML
    Qu, WD
    Long, SR
    Shen, SSP
    APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2003, 19 (03) : 245 - 268
  • [39] A Method for Time-Frequency Feature Extraction from Vibration Signal Based on Hilbert-Huang Transform
    Jiao, Weidong
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 8460 - 8464
  • [40] Frequency Analysis of Disturbance Torque Exerted on a Carriage Arm in Hard Disk Drives Using Hilbert-Huang Transform
    Koganezawa, Shinji
    Tsuda, Shotaro
    Tani, Hiroshi
    Lu, Renguo
    Tagawa, Norio
    IEEE TRANSACTIONS ON MAGNETICS, 2018, 54 (11)