Abstract
This paper presents a classification system based on Wavelet Transform for normal Power Quality disturbances. The parameter used for the classification algorithm was energy distribution of detailed coefficient of Wavelet Transform up to 10 leveles of decomposition. Wavelet Transform parameters are effective in classification of disturbance waveforms. Artificial Neural Network was used for the classification purpose which gave satisfactory results. And the algorithm developed in MATLAB was interfaced with Data Acquisition devices to check its accuracy for online classification purpose.
Original language | English |
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Title of host publication | Proceedings of the 2015 IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 157-161 |
Number of pages | 5 |
ISBN (Electronic) | 9781479983704 |
DOIs | |
Publication status | Published - 23-09-2015 |
Externally published | Yes |
Event | IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015 - Bengaluru, India Duration: 12-08-2015 → 14-08-2015 |
Conference
Conference | IEEE International Conference on Power and Advanced Control Engineering, ICPACE 2015 |
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Country/Territory | India |
City | Bengaluru |
Period | 12-08-15 → 14-08-15 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Energy Engineering and Power Technology