Brusa et al., 2023 - Google Patents
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processingBrusa et al., 2023
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- 14780564061012636363
- Author
- Brusa E
- Delprete C
- Di Maggio L
- Publication year
- Publication venue
- Mechanics of Advanced Materials and Structures
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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 …
- 238000003745 diagnosis 0 title abstract description 56
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- 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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