Investigation for Improved Artificial Intelligence Techniques for Thyristor-controlled Series-compensated Transmission Line Fault Classification with Discrete Wavelet Packet Entropy Measures-Reference-Cited by-同舟云学术

Investigation for Improved Artificial Intelligence Techniques for Thyristor-controlled Series-compensated Transmission Line Fault Classification with Discrete Wavelet Packet Entropy Measures

Published:2014-03-13 Issue:6 Volume:42 Page:554-566
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Vyas Bhargav,Maheshwari Rudra Prakash,Das Biswarup

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

http://www.tandfonline.com/doi/pdf/10.1080/15325008.2014.880961

Reference26 articles.

1. Power quality disturbance data compression using wavelet transform methods

2. Fault Noise Based Approach to Phase Selection Using Wavelets Based Feature Extraction

3. Phase selection and fault section identification in thyristor controlled series compensated line using discrete wavelet transform

4. Pattern recognition based digital relaying for advanced series compensated line

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