Quality enhances reliability [power supplies]
IEEE Spectrum
Entropy-based algorithms for best basis selection
IEEE Transactions on Information Theory - Part 2
Nonlinear multiresolution signal decomposition schemes. I. Morphological pyramids
IEEE Transactions on Image Processing
A unified approach for determining the underlying causes of non-stationary disturbances
International Journal of Computer Applications in Technology
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This paper presents a novel algorithm, morphological gradient wavelet (MGW), for the detection of power disturbances. MGW is a nonlinear wavelet transform that involves morphological operation in the decomposition process and presents the gradient information in the output. Applied to power systems, MGW extracts the features of disturbances and detects their location and duration. A variety of power disturbances have been simulated to evaluate the validity of MGW. Moreover, the advantages of the new algorithm are also addressed in comparison with Daubechies DB4 wavelet transform (DB4).