A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions

dc.contributor.authorSchmidt, Stephan
dc.contributor.authorMauricio, Alexandre
dc.contributor.authorHeyns, P.S. (Philippus Stephanus)
dc.contributor.authorGryllias, Konstantinos C.
dc.contributor.emailstephan.schmidt@up.ac.zaen_ZA
dc.date.accessioned2020-05-12T13:17:37Z
dc.date.issued2020-08
dc.description.abstractPlease read abstract in the article.en_ZA
dc.description.departmentMechanical and Aeronautical Engineeringen_ZA
dc.description.embargo2021-08-01
dc.description.librarianhj2020en_ZA
dc.description.sponsorshipThe Eskom Power Plant Engineering Instituteen_ZA
dc.description.urihttp://www.elsevier.com/locate/jnlabr/ymsspen_ZA
dc.identifier.citationSchmidt, 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.issn0888-3270 (print)
dc.identifier.issn1096-1216 (online)
dc.identifier.other10.1016/j.ymssp.2020.106739
dc.identifier.urihttp://hdl.handle.net/2263/74547
dc.language.isoenen_ZA
dc.publisherElsevieren_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.subjectGearbox diagnosticsen_ZA
dc.subjectTime-varying operating conditionsen_ZA
dc.subjectFrequency band identificationen_ZA
dc.subjectCyclostationarityen_ZA
dc.subject.otherEngineering, built environment and information technology articles SDG-04
dc.subject.otherSDG-04: Quality education
dc.subject.otherEngineering, built environment and information technology articles SDG-07
dc.subject.otherSDG-07: Affordable and clean energy
dc.subject.otherEngineering, built environment and information technology articles SDG-09
dc.subject.otherSDG-09: Industry, innovation and infrastructure
dc.subject.otherEngineering, built environment and information technology articles SDG-12
dc.subject.otherSDG-12: Responsible consumption and production
dc.titleA methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditionsen_ZA
dc.typePostprint Articleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Schmidt_Methodology_2020.pdf
Size:
10.85 MB
Format:
Adobe Portable Document Format
Description:
Postprint Article
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Research Articles (Mechanical and Aeronautical Engineering)
Research Articles (University of Pretoria)
Simple item page