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Han et al., 2022 - Google Patents

An efficient algorithm for atomic decomposition of power quality disturbance signals using convolutional neural network

Han et al., 2022

Document ID
14430070147360471222
Author
Han Y
Feng Y
Yang P
Xu L
Zalhaf A
Publication year
Publication venue
Electric Power Systems Research

External Links

Snippet

The atomic decomposition (AD) algorithm for Power Quality Disturbance (PQD) signals can obtain sparser and physically clearer results than the conventional fixed basis decomposition method. However, the conventional atomic decomposition (CAD) algorithm …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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