Application of Wavelet Transform in Transient Signal

Abstract:

In this paper, analog signals will be built upon the dynamic load of transient signal with the help of MATLAB simulation method and wavelet transform concept, and analyze it with the application of wavelet denoise method, whose good effects would be proved by simulation experiment. To dispel noise from noisy signal through wavelet resolution theory approach based on collection of simulation experiment and theory. In conclusion, wavelet kernel function and decomposition have direct effect to denoise. In this paper, we’ve made an analysis to electric power transient signal characteristics by combination of wavelet basic theory and simulation experiment

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 4711-4717
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.4711
• Online since: May 2014
• Authors: Zhe Yuan Wang*, Li Jiang, Ming Hu Xu, Wei Gang Zheng
• Keywords: MATLAB Simulation, Transient Signal Analysis, Wavelet Denoise, Wavelet Transform (WT)

References

[1] D.P. Stojanovi´c et al. 2008. Dynamic load modelling based on measurements in medium voltage distribution network. Electric Power Systems Research. 78: 228–238.

DOI: 10.1016/j.epsr.2007.02.003

[2] Jing Wang, Hongchun Shu, Xueyun Chen, 2003, wavelet transform power system technology application, power grid technology, 27(6) : 52-55.

[3] Jing Wang, Aiqin Xu. 2008, Matlab/Simulink in the application of Power System Transient Analysis, Journal teaching of electronics and electric , 30(4): 81-83.

[4] Lihong Wang, 2008. Selection and application of wavelet basis in transient signal analysis. China power, 41(10): 27-29.

[5] Ancell G B, Pahalawaththa N C. 1994. Maximum likelihood estimation of fault location on transmission lines using traveling waves . IEEE Transactions on Power Delivery, (9): 680-689.

DOI: 10.1109/61.296245

[6] Angrisanil, Daponte P. 1998. A measurement method based on the wavelet transform for power quality analysis. IEEE Trans on Power Delivery, 13(4): 990-998.

DOI: 10.1109/61.714415

[7] Bi Daqiang, Wang Weijian, Gui Lin, Wang Xiangheng. 2002. A new selective transient protection for the ground fault of large unit-connected generators. Power System Technology, Proceedings. PowerCon International Conference on, (4): 2622-2626.

DOI: 10.1109/icpst.2002.1047261

[8] BO Z Q, AGGARWAL R K, JOHNS A T et al. 1997. A New Approach to Phase Selection Using Fault Generated High Frequency Noise and Neural Networks. IEEE Trans on Power Delivery, 12(41) : 106-115.

DOI: 10.1109/61.568230

[9] Bo Z Q. 1998. A new non-communication protection technique for transmission lines. IEEE Transactions on Power Delivery, 13 (4) : 1073-1078.

DOI: 10.1109/61.714458

[10] Chen D S, Liu P, Peng H, et al. 1990. Analysis of an Accelerated Trip Scheme for Faults in the Second Zone of Protection of a Transmission Line . IEEE Trans on Power Delivery, 5(1) : 72-78.

DOI: 10.1109/61.107258

[11] Dash P K, Panigrahi B K, Panda G. 2003. Power quality analysis using S-transform. IEEE Transactions on Power Delivery, 18(2): 406-411.

DOI: 10.1109/tpwrd.2003.809616

[12] Dash P K, Panigrahi B K, Sahoo D K, Panda G. 2003. Power quality disturbance data compression, detection, and classification using integrated spline wavelet and S-transform. IEEE Transactions on Power Delivery, 18(2): 595-600.

DOI: 10.1109/tpwrd.2002.803824