Schmidt, StephanMauricio, AlexandreHeyns, P.S. (Philippus Stephanus)Gryllias, Konstantinos C.2020-05-122020-08Schmidt, 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. 1-22.0888-3270 (print)1096-1216 (online)10.1016/j.ymssp.2020.106739http://hdl.handle.net/2263/74547Please read abstract in the article.en© 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.Gearbox diagnosticsTime-varying operating conditionsFrequency band identificationCyclostationarityEngineering, built environment and information technology articles SDG-04SDG-04: Quality educationEngineering, built environment and information technology articles SDG-07SDG-07: Affordable and clean energyEngineering, built environment and information technology articles SDG-09SDG-09: Industry, innovation and infrastructureEngineering, built environment and information technology articles SDG-12SDG-12: Responsible consumption and productionPostprint Article