Comparison of modified teaching–learning-based optimization and extreme learning machine for classification of multiple power signal disturbances

This publication has 27 references indexed in Scilit:

• Identification of Multiple Power Quality Disturbances using S-Transform and Rule Based Classification Technique
  Journal of Applied Sciences, 2009
• Power quality disturbance classification utilizing S-transform and binary feature matrix method
  Electric Power Systems Research, 2009
• Detection and classification of power quality disturbances in noisy conditions
  IEE Proceedings - Generation, Transmission and Distribution, 2003
• Pattern recognition applications for power system disturbance classification
  IEEE Transactions on Power Delivery, 2002
• Radial basis functional link nets and fuzzy reasoning
  Neurocomputing, 2002
• Power disturbance classifier using a rule-based method and wavelet packet-based hidden Markov model
  IEEE Transactions on Power Delivery, 2002
• A de-noising scheme for enhancing wavelet-based power quality monitoring system
  IEEE Transactions on Power Delivery, 2001
• A power quality prediction system
  IEEE Transactions on Industrial Electronics, 2000
• Localization of the complex spectrum: the S transform
  IEEE Transactions on Signal Processing, 1996
• The wavelet transform, time-frequency localization and signal analysis
  IEEE Transactions on Information Theory, 1990