3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings

      , , , ,
      Mechanical Systems and Signal Processing
      Elsevier BV

      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 references43

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

          Machinery health prognostics: A systematic review from data acquisition to RUL prediction

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

            A recurrent neural network based health indicator for remaining useful life prediction of bearings

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

              A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

                Bookmark

                Author and article information

                Contributors
                Journal
                Mechanical Systems and Signal Processing
                Mechanical Systems and Signal Processing
                Elsevier BV
                08883270
                October 2020
                October 2020
                : 144
                : 106899
                Article
                10.1016/j.ymssp.2020.106899
                9b152be8-7e9d-48bd-b06e-f542b532c978
                © 2020

                https://www.elsevier.com/tdm/userlicense/1.0/

                History

                Comments

                Comment on this article