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Brusa et al., 2023 - Google Patents

Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing

Brusa et al., 2023

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Document ID
14780564061012636363
Author
Brusa E
Delprete C
Di Maggio L
Publication year
Publication venue
Mechanics of Advanced Materials and Structures

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Snippet

Abstract The Intelligent Fault Diagnosis of rotating machinery currently proposes some captivating challenges. Although results achieved by artificial intelligence and deep learning constantly improve, this field is characterized by several open issues. Models' interpretation …
Continue reading at arxiv.org (PDF) (other versions)

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    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting 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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    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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