Classification of power quality disturbances using wavelet and fuzzy support vector machines

2005 International Conference on Machine Learning and Cybernetics, ICMLC 2005

Volumn , Issue , 2005, Pages 3981-3984

  Hu, Guo Sheng ^a,b   Xie, Jing ^b   Zhu, Feng Feng ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Guangdong Vocational Coll of Science and Technology   (China)

Author keywords

Classification; Fuzzy support vector machine; Power quality disturbance; Wavelet analysis

Indexed keywords

DECISION MAKING; DIGITAL SIGNAL PROCESSING; FOURIER TRANSFORMS; FUZZY SETS; WAVELET TRANSFORMS;

CLASSIFICATION; FUZZY SUPPORT VECTOR MACHINE; POWER QUALITY DISTURBANCE; WAVELET ANALYSIS;

STANDBY POWER SYSTEMS;

EID: 28444447097     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Golkar M A. electric Power Quality: types and measurements. 2004, IEEE DRPT2004, Hong Kong, and pp: 317-321.
2. IEEE Std 1159-1995, IEEE recommended practice for monitoring electric power quality. New York: IEEE; 1995.
3. Kezunovic M, Liao Y. Use of intelligent techniques in the power quality assessment applications. International Conference of Intelligent system Applications to Power systems, ISAP, 2001. Budapest, Hungary, June 18-21, 2001.
4. Liao Y. Automated analysis of power quality data and transmission line fault location. PhD Dissertation. Texas A&M University; 2000.
5. Hu G S. Trigonometric spline wavelet and its application to detection of electric motor faults. Proceedings of CSEE, 2001, 12, pp: 65-69.
6. Lin C F and Wang S D. Fuzzy support vector machines. IEEE transactions on neural networks. 2002, 13(2): 464-471.