Identification of multiple power quality disturbances using S-transform and rule based classification technique

Journal of Applied Sciences

Volumn 9, Issue 15, 2009, Pages 2688-2700

  Faisal, M F ^a   Mohamed, A ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Disturbances; Power quality; PQMS; Rule based technique; S transform

Indexed keywords

DISTURBANCES; INDUSTRIAL POWER SYSTEMS; POWER QUALITY DISTURBANCES; POWER QUALITY MONITORING SYSTEM; PQMS; RULE-BASED CLASSIFICATION; RULE-BASED TECHNIQUES; S TRANSFORMS;

POWER QUALITY;

TECHNOLOGY;

EID: 68949217016     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2009.2688.2700     Document Type: Article

References (14)

1. Bhende, C.N., S. Mishra and B.K. Panigrahi, 2008. Detection and classification of power quality disturbances using S-transform and modular neural network. Sci. Direct Elect. Power Syst. Res., 78: 122-128.
2. Bollen, M.H.J. and I.Y.H. Gu, 2006. Signal Processing of Power Quality Disturbances. IEEE Inc., John Wiley and Sons. Inc., USA. ISBN: 13-978-0-471-73168-9.
3. Bollen, M.H.J., I.Y.H. Gu, P.G.V. Axelberg and E. Styvaklakis, 2007. Classification of underlying causes of power quality disturbances: Deterministic versus statistical methods. EURASIP J. Adv. Signal Process., Vol. 2007. 10.1155/2007/79747.
4. Chilukuri, M.V. and P.K. Dash, 2004. Multiresolution S-transform-based fuzzy recognition system for power quality events. IEEE Trans. Power Delivery, 19: 323-330.
5. Chung, J., E.J. Powers, W.M. Grady and S.C. Bhalt, 2002. Power disturbance classifier using a rule-based method and wavelet packet-based hidden Markov model. IEEE Trans. Power Delivery, 17: 233-241.
6. Dugan, R.C., M.F. McGranaghan and H.W. Betty, 1996. Electrical Power Systems Quality. McGraw Hill Companies, London, ISBN: 0-07-018031-8.
7. Gargoom, A.M., N. Eetugrul and W.L. Soong, 2005. A Comparative Study on Effective Signal Processing Tools. EPE 2005. Dresden.
8. Godoy, R.B., J.O.P. Pinto and L.G. Junior, 2007. Multiple signal processing techniques based power quality disturbance detection, classification and diagnostic. Proceedings of the 6th International Conference, Oct. 9-11, Electrical Power Quality and Utilization. Barcelona, pp: 1-6.
9. Kennedy, B.W., 2000. Power Quality Primer. McGraw Hill Companies Inc., USA.
10. Negnevitsky, M., 2002. Artificial Intelligence: A Guide to Intelligent Systems. Addison Wesley, New York.
11. Polikar, R., 1994. The engineer's ultimate guide to wavelet analysis: The wavelet tutorial, http://users.rowan.edu/~polikar/WAVELETS/WTtutorial.html.
12. Reddy, J.B., D.K. Mohanta and B.M. Karan, 2004. Power system disturbance recognition using wavelet and S-transform techniques. Int. J. Emerg. Electric Power Syst., 1: 1-14.
13. Stockwcll, R.G., L. Mansinha and R.P. Lowe, 1996. Localization of the complex spectrum: The S-transform. IEEE Trans. Signal Process., 44:998-1001.
14. Styvaktakis, E., M.H.J. Bollen and I.Y.H. Gu, 2002. Expert system for classification and analysis of power system events. IKKK Trans. Power Delivery, 17: 423-428.