A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions
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| dc.contributor.author | Schmidt, Stephan
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| dc.contributor.author | Mauricio, Alexandre
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| dc.contributor.author | Heyns, P.S. (Philippus Stephanus)
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| dc.contributor.author | Gryllias, Konstantinos C.
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| dc.date.accessioned | 2020-05-12T13:17:37Z | |
| dc.date.issued | 2020-08 | |
| dc.description.abstract | Please read abstract in the article. | en_ZA |
| dc.description.department | Mechanical and Aeronautical Engineering | en_ZA |
| dc.description.embargo | 2021-08-01 | |
| dc.description.librarian | hj2020 | en_ZA |
| dc.description.sponsorship | The Eskom Power Plant Engineering Institute | en_ZA |
| dc.description.uri | http://www.elsevier.com/locate/jnlabr/ymssp | en_ZA |
| dc.identifier.citation | Schmidt, S., Mauricio, A., Heyns, P.S. et al. 2020, 'A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions', Mechanical Systems and Signal Processing, vol. 142, art. 06739, pp. 1-22. | en_ZA |
| dc.identifier.issn | 0888-3270 (print) | |
| dc.identifier.issn | 1096-1216 (online) | |
| dc.identifier.other | 10.1016/j.ymssp.2020.106739 | |
| dc.identifier.uri | http://hdl.handle.net/2263/74547 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | Elsevier | en_ZA |
| dc.rights | © 2020 Elsevier Ltd. Notice : this is the author’s version of a work that was accepted for publication in Mechanical Systems and Signal Processing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Mechanical Systems and Signal Processing, vol. 142, art. 06739, pp. 1-22, 2020, doi : 10.1016/j.ymssp.2020.106739. | en_ZA |
| dc.subject | Gearbox diagnostics | en_ZA |
| dc.subject | Time-varying operating conditions | en_ZA |
| dc.subject | Frequency band identification | en_ZA |
| dc.subject | Cyclostationarity | en_ZA |
| dc.title | A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions | en_ZA |
| dc.type | Postprint Article | en_ZA |
