Detection of Power Quality Disturbances Based on Adaptive Neural Net and Shannon Entropy Method-Reference-Cited by-同舟云学术

Detection of Power Quality Disturbances Based on Adaptive Neural Net and Shannon Entropy Method

Published:2014-11-02 Issue: Volume: Page:737-745
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Kavitha D.,Renuga P.,Lakshmi M. Seetha

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-2126-5_79

Reference10 articles.

1. Z. Jing, H. Zhengyou, Q. Qingquan, Detection of power quality disturbances based on generalized morphological filter and information theory. IEEE. (2009)

2. Yop Chung, Dong-Jun Won, Joong-Moon Kim et al., Development of a network-based power quality diagnosis system. Electr. Power Syst. Res. 77, 1086–1094 (2007)

3. A.S. Yilmaz, A. Subasi, M. Bayrak et al., Application of lifting based wavelet transforms to characterize power quality events. Energy Convers. Manage. 48(1), 112–123 (2007)

4. F. Jurado, J.R. Saenz, Comparison between discrete STFT and wavelets for the analysis of power quality events. Electr. Power Syst. Res. 62(3), 183–190 (2002)

5. S. Ouyang, J. Wang, A new morphology method for enhancing power quality monitoring system. Int. J. Electr. Power Energy Syst. 29(2), 121–128 (2007)

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