Optimized kernel principal component analysis fault monitoring method based on chaotic particle swarm

The invention discloses an optimization kernel principal component analysis fault monitoring method based on a chaotic particle swarm. The method comprises the steps of obtaining an initial data matrix; wherein the initial data matrix comprises a normal data sample matrix and a fault data sample mat...

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Bibliographische Detailangaben
Hauptverfasser: XIAO YINGWANG, LIU JUN, ZHANG XUHONG, CHEN ZHENFENG, YAO MEIYIN
Format: Patent
Sprache:chi ; eng
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