Wavelet Transform Based Fuzzy Inference System for Power Quality Classification

  • Authors:
  • Arvind K. Tiwari;K. K. Shukla

  • Affiliations:
  • -;-

  • Venue:
  • AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing
  • Year:
  • 2002

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Abstract

The paper presents a hybrid scheme using a Discrete Wavelet Transform and a Fuzzy Expert System for feature extraction and classification. The signal under test (electrical current or voltage for Power Quality study) is processed through a DWT decomposition block to generate the feature extraction curve. The DWT Level and Energy information from the feature extraction curve is then passed through a diagnostic module that computes the truth-value of the signal combination and determines the class to which the signal belongs. The proposed scheme is much simpler and powerful than currently available PQ classification schemes.