id: 02085365
dt: a
an: 02085365
au: Tiwari, Arvind K.; Shukla, K.K.
ti: Wavelet transform based fuzzy inference system for power quality
    classification.
so: Pal, Nikhil R. (ed.) et al., Advances in soft computing - AFSS 2002. 2002
    AFSS international conference on fuzzy systems, Calcutta, India,
    February 3‒6, 2002. Proceedings. Berlin: Springer (ISBN
    3-540-43150-0). Lect. Notes Comput. Sci. 2275, 148-155 (2002).
py: 2002
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: http://link.springer.de/link/service/series/0558/bibs/2275/22750148.htm
ab: Summary: 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.
rv: