Combined wavelet transfoms and neural network (WNN) based fault detection and classification in transmission lines

2009 International Conference on Control Automation, Communication and Energy Conservation, INCACEC 2009

Volumn , Issue , 2009, Pages

  Geethanjali, M ^a   Priya, K Sathiya ^a  

^a THIAGARAJAR COLLEGE OF ENGINEERING   (India)

Author keywords

Artificial neural network; Fault classification; Transmission lines; Wavelet transforms

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CAPACITOR SWITCHING; DATA SETS; DOUBLE LINE; FAULT CLASSIFICATION; FAULT DETECTION AND CLASSIFICATION; FREQUENCY DOMAINS; HIGH VOLTAGE TRANSMISSION LINES; LINE TO LINE FAULT; OPERATING CONDITION; OPERATING SIGNAL; POWER SYSTEM FAULT; POWER SYSTEMS; PROJECT WORK; PROTECTION SCHEMES; RELIABLE OPERATION; SIMULINK; SINGLE PHASE; SINGLE PHASE TO GROUND FAULTS; THREE-LAYER; THREE-PHASE SHORT CIRCUITS; TRAINING AND TESTING; TRANSIENT CONDITIONS; TRANSIENT SIGNAL; TRANSMISSION LINE; TRANSMISSION LINE PROTECTION; TRANSMISSION LINES;

BACKPROPAGATION; CAPACITANCE; CAPACITORS; DISCRETE WAVELET TRANSFORMS; ELECTRIC LINES; ELECTRIC POWER TRANSMISSION NETWORKS; ENERGY CONSERVATION; FAULT DETECTION; FREQUENCY DOMAIN ANALYSIS; MATHEMATICAL TRANSFORMATIONS; MATLAB; NEURAL NETWORKS; SIGNAL DETECTION; SYSTEMS ENGINEERING; TIME DOMAIN ANALYSIS; TRANSIENTS; TRANSMISSION LINE THEORY; WELDS;

BANDPASS FILTERS;

EID: 70449361849     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. H. Zheng-you, C. Xiaoqing and L. Guoming, "Wavelet Entropy Definition and its Application for Transmission Line Fault Detection and Identification (Part I: Definition and Methodology), Proc. International Conference on Power System Technology, 2006.
2. Wavelet Entropy Measure Definition and Its Application for Transmission Line Fault Detection and Identification (Part II: Fault Detection in Transmission line) by HE Zheng-you, Chen Xiaoqing', Fu Ling', Proc. International Conference on Power System Technology, 2006
3. H. Zheng-you, C. Xiaoqing and L. Guoming, "Wavelet Entropy Definition and its Application for Transmission Line Fault Detection and Identification (Part III: Transmission line faults transients identification), Proc. Int. Conf. on Power System Technology, 2006.
4. Joe Air Jiang, Ching Shan Chen, Chih WenLiu. A New Protection Scheme for Fault Detection, Direction Discrimination, Classification, and Location in Transmission Lines. IEEE transactions on power delivery. 2003, 18(1), pp. 34-42.
5. P., Makming, S., Bunjongjit, A., Kunakorn, S., Jiriwibhakorn and M., Kando, Fault Diagnosis in Transmission Lines Using Wavelet Transform Analysis, IEEE Transmission and Distribution Conference and Exhibition, pp. 2246-2250, 2002.
6. M. Kezunovic and I. Rikalo, "Detect and classify faults using neural nets," IEEE Computer. Appl. Power, vol. 9, pp. 42-47, Oct. 1996.
7. Bin Zhang, Zhengyou He and Qingquan Qian, "Application of wavelet entropy and adaptive nerve-fuzzy inference to fault classification", Proc. Int. Conf. on Power System Technology, 2006.
8. HE Zheng-you, WANG Xiao-ru, and QIAN Qing-quan. A study of EHV transmission lines non-unit transient protection based on wavelet analysis. Proceedings of the CSEE, 2001, 21(10), pp. 10-14.
9. Oleskovicz M., Coury D.V. and Aggarwal R.K. (2001): A complete scheme for fault detection, classification and localization in transmission lines using neural network. - Proc. 7th Int. Conf. Developments in Power System Protection, Amsterdam, the Netherlands, pp. 335-338.
10. T. Dalstain, and B. Kulicke, "Neural Network-Approach to Fault Classification for High Speed Protective Relaying", IEEE Trans. on Power Delivery, Vol. 10, No. 2, Apr. 1995, pp. 1002-1011.
11. I. Daubechies. "The wavelet transforms, time-frequency location and signal analysis". IEEE Trans, IT. 1990, 36(5), pp. 961-1005.
12. S. Mallat. "A theory for multi resolution signal decomposition: The wavelet representation". IEEE Trans. PAMI. 1989, 11(7), pp. 674-693.
13. Wavelet transforms Tutorials by Robin Polikar.
14. Fundamentals of neural network by Laurence Fausett, Prentice hall Publications.