2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Novel Higher-Order Spectral Cross-Correlation Technologies for Vibration Sensor-Based Diagnosis of Gearboxes

      research-article

      Read this article at

      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.

          Abstract

          Novel vibration sensor-based diagnostic technologies, built on the higher order wavelet spectral cross-correlation (WSC), are proposed, investigated and applied to gearbox vibration diagnosis for the first time in worldwide terms. The proposed WSC-based technologies do not feature any constrains in selection of signal spectral components, relations between which are analysed. That is a radical improvement in comparison with the higher-order spectra (HOS). The WSC technologies are applied for an experimental diagnosis of a local gear tooth fault of a helical gearbox that is developed during a long duration gearbox endurance test. Differences between the applied technologies and advantages of the novel WSC approach over the classical HOS are explained in detail. Superiority of the WSC technologies is justified by high validity comprehensive experimental comparison with the HOS technologies: i.e., the wavelet bicoherence and the wavelet tricoherence.

          Related collections

          Most cited references65

          • 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

            A better way to define and describe Morlet wavelets for time-frequency analysis

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

              APPLICATION OF WAVELETS TO GEARBOX VIBRATION SIGNALS FOR FAULT DETECTION

                Bookmark

                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                09 September 2020
                September 2020
                : 20
                : 18
                : 5131
                Affiliations
                [1 ]Department of Engineering and Technology, The University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK; A.Ball@ 123456hud.ac.uk
                [2 ]Meggitt Sensing Systems, Rte de Moncor 4, 1701 Fribourg, Switzerland; krzysztof.solinski@ 123456ch.meggitt.com
                Author notes
                [* ]Correspondence: l.gelman@ 123456hud.ac.uk
                Author information
                https://orcid.org/0000-0002-8593-6830
                Article
                sensors-20-05131
                10.3390/s20185131
                7570882
                32916831
                022305bd-7512-4b36-b5fd-54d20272da30
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 26 July 2020
                : 21 August 2020
                Categories
                Article

                Biomedical engineering
                wavelet spectral cross-correlation,gearbox fault diagnosis vibration analysis

                Comments

                Comment on this article