Journal
IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 16, Issue 4, Pages 662-670Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/59.962411
Keywords
commutation failure; feature extraction; HVDC system; multiresolution signal decomposition; wavelet analysis
Categories
Ask authors/readers for more resources
The paper presents a disturbance classification technique based on wavelet multi-resolution analysis. The wavelet multi-resolution transform is introduced as a tool for providing discriminative, translation-invariant features with small dimensions to classify different disturbances in an HVDC transmission system. The proposed method extracts features from signals monitored on both DC and AC sides of the HVDC system. It is shown that monitored signals show promising features that can classify different disturbances that may occur anywhere in the HVDC system.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available