The paper presents a disturbance classification technique based on wavelet
multi-resolution analysis. The wavelet multi-resolution transform is introd
uced as a tool for providing discriminative, translation-invariant features
with small dimensions to classify different disturbances in an HVDC transm
ission system. The proposed method extracts features from signals monitored
on both DC and AC sides of the HVDC system. It is shown that monitored sig
nals show promising features that can classify different disturbances that
may occur anywhere in the HVDC system.