Monitoring HVDC systems using wavelet multi-resolution analysis

A. M. Gaouda, E. F. El-Saadany, M. M.A. Salama, V. K. Sood, A. Y. Chikhani

Research output: Contribution to journalArticlepeer-review

56 Scopus citations


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.

Original languageBritish English
Pages (from-to)662-670
Number of pages9
JournalIEEE Transactions on Power Systems
Issue number4
StatePublished - Nov 2001


  • Commutation failure
  • Feature extraction
  • HVDC system
  • Multiresolution signal decomposition
  • Wavelet analysis


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