0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Fault Diagnosis of Machines Using Deep Convolutional Beta-Variational Autoencoder

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references48

          • Record: found
          • Abstract: not found
          • Article: not found

          Gradient-based learning applied to document recognition

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Artificial intelligence for fault diagnosis of rotating machinery: A review

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                IEEE Transactions on Artificial Intelligence
                IEEE Trans. Artif. Intell.
                Institute of Electrical and Electronics Engineers (IEEE)
                2691-4581
                April 2022
                April 2022
                : 3
                : 2
                : 287-296
                Affiliations
                [1 ]Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India
                Article
                10.1109/TAI.2021.3110835
                b3e74893-45a7-4c06-914f-280abae5cafc
                © 2022

                https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-037

                History

                Comments

                Comment on this article