A study on different fault characteristics using wavelet and fast Fourier transforms

被引:0
|
作者
Engu, E. [1 ]
Ramar, K. [1 ]
Montano, R. [2 ]
Cooray, V. [2 ]
机构
[1] Multimedia Univ, FOE, MMU, Persiaran Multimedia 63100, Malaysia
[2] High Voltage Valley, SE-77128 Ludvika, Sweden
关键词
WT; FFT; fault characteristic; polarities; ATP/EMTP; and spectrum analysis;
D O I
暂无
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
An investigation on different types of faults namely: open-circuit (OC), short-circuit (SC), high impedance fault (HIF) and the fault caused by direct lightning strike (LS) on the transmission line has been done using Alternative Transient Program/Electromagnetic Transient Program (ATP/EMTP) and MATLAB Toolbox. The characteristic of the faults in terms of their corresponding frequency spectrum, the polarity of incident- and reflected-wave from fault point, and the neighboring and/or remote end busbar signals has been studied and verified for the possibility to differentiate the type of fault occurred. For this purpose, the fault point on the wave has been created at the moment when the voltage signal reaches its peak and also when it is close to zero. Both, Wavelet Transform (WT) and Fast Fourier Transform (FFT) methods have been implemented in the study to extract and analyze the information associated with transient signal generated by the fault simulated at both, sending and receiving end busbars. Model of the network used in this study is taken from [1].
引用
收藏
页码:124 / +
页数:3
相关论文
共 50 条
  • [41] Motor Fault Diagnosis Based on Wavelet Analysis and Fast Fourier Transform
    Zhang Qingxin
    Li Jin
    Li Haibin
    Liu Chong
    [J]. ADVANCED MEASUREMENT AND TEST, PTS 1-3, 2011, 301-303 : 1401 - 1405
  • [42] A fast program generator of fast Fourier transforms
    Clausen, M
    Müller, M
    [J]. APPLIED ALGEBRA, ALGEBRAIC ALGORITHMS AND ERROR-CORRECTING CODES, PROCEEDINGS, 1999, 1719 : 29 - 42
  • [43] Integrated representation for discrete Fourier and wavelet transforms using vector notation
    Javid, Tariq
    Faris, Muhammad
    Aziz, Arshad
    Akhtar, Pervez
    [J]. MEHRAN UNIVERSITY RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY, 2022, 41 (03) : 175 - 184
  • [44] Fault classification based on wavelet transforms
    Youssef, OAS
    [J]. 2001 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION, VOLS 1 AND 2: DEVELOPING NEW PERSPECTIVES, 2001, : 531 - 536
  • [45] A Fast Algorithm for Aperiodic Linear Stencil Computation using Fast Fourier Transforms
    Ahmad, Zafar
    Chowdhury, Rezaul
    Das, Rathish
    Ganapathi, Pramod
    Gregory, Aaron
    Zhu, Yimin
    [J]. ACM TRANSACTIONS ON PARALLEL COMPUTING, 2023, 10 (04)
  • [46] Vehicle Recognition Based on Fourier, Wavelet and Curvelet Transforms - a Comparative Study
    Kazemi, Farhad Mohamad
    Samadi, Saeed
    Pourreza, Hamidreza
    Akbarzadeh, Mohamad R.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2007, 7 (02): : 130 - 135
  • [47] Comparative study on signal processing in analytical chemistry by Fourier and wavelet transforms
    Bao, LJ
    Mo, JY
    Tang, ZY
    [J]. ACTA CHIMICA SINICA, 1997, 55 (09) : 907 - 914
  • [48] Fast Fourier Transforms using the complex logarithmic number system
    Arnold, M.
    Bailey, T.
    Cowles, J.
    Walter, C.
    [J]. Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, 2003, 33 (03) : 325 - 335
  • [49] Vehicle recognition based on fourier, wavelet and curvelet transforms - a comparative study
    Kazemi, Farhad Mohamad
    Samadi, Saeed
    Poorreza, Hamid Reza
    Akbarzadeh-T, Mohamad-R
    [J]. INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, PROCEEDINGS, 2007, : 939 - +
  • [50] Medical Image Fusion by Using Different Wavelet Transforms
    Narsaiah, M. N.
    Reddy, D. Venkat
    Bhaskar, T.
    [J]. ADVANCES IN SIGNAL PROCESSING AND COMMUNICATION ENGINEERING, ICASPACE 2021, 2022, 929 : 349 - 357