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

19 citations · 19 across the 1 of their papers we have counts for

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eess.SP2021★ 19 cited

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

Eugenio Brusa, Cristiana Delprete, Luigi Gianpio Di Maggio

The Intelligent Fault Diagnosis of rotating machinery currently proposes some captivating challenges. Although results achieved by artificial intelligence and deep learning constan…