1. A discrepancy analysis methodology for rolling element bearing diagnostics under variable speed conditions. (1st February 2019) Authors: Schmidt, Stephan; Heyns, P. Stephan; Gryllias, Konstantinos C. Journal: Mechanical systems and signal processing Issue: Volume 116(2019) Page Start: 40 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A hybrid framework for remaining useful life estimation of turbomachine rotor blades. (1st May 2022) Authors: Ellis, Brian; Heyns, P. Stephan; Schmidt, Stephan Journal: Mechanical systems and signal processing Issue: Volume 170(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions. (August 2020) Authors: Schmidt, Stephan; Mauricio, Alexandre; Heyns, P. Stephan; Gryllias, Konstantinos C. Journal: Mechanical systems and signal processing Issue: Volume 142(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. A methodology using the spectral coherence and healthy historical data to perform gearbox fault diagnosis under varying operating conditions. (15th January 2020) Authors: Schmidt, Stephan; Heyns, P. Stephan; Gryllias, Konstantinos C. Journal: Applied acoustics Issue: Volume 158(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. A pre-processing methodology to enhance novel information for rotating machine diagnostics. (1st June 2019) Authors: Schmidt, Stephan; Heyns, P. Stephan; Gryllias, Konstantinos C. Journal: Mechanical systems and signal processing Issue: Volume 124(2019) Page Start: 541 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. A threshold self-setting condition monitoring scheme for wind turbine generator bearings based on deep convolutional generative adversarial networks. (1st January 2021) Authors: Chen, Peng; Li, Yu; Wang, Kesheng; Zuo, Ming J.; Heyns, P. Stephan; Baggeröhr, Stephan Journal: Measurement Issue: Volume 167(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. A time series model-based method for gear tooth crack detection and severity assessment under random speed variation. (July 2021) Authors: Chen, Yuejian; Schmidt, Stephan; Heyns, P. Stephan; Zuo, Ming J. Journal: Mechanical systems and signal processing Issue: Volume 156(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. An informative frequency band identification framework for gearbox fault diagnosis under time-varying operating conditions. (September 2021) Authors: Schmidt, Stephan; Heyns, P. Stephan; Gryllias, Konstantinos C. Journal: Mechanical systems and signal processing Issue: Volume 158(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. An open set recognition methodology utilising discrepancy analysis for gear diagnostics under varying operating conditions. (15th March 2019) Authors: Schmidt, Stephan; Heyns, P. Stephan Journal: Mechanical systems and signal processing Issue: Volume 119(2019) Page Start: 1 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. An overview of numerical methodologies for durability assessment of vehicle and transport structures. (30th June 2010) Authors: Wannenburg, Johann; Heyns, P. Stephan Journal: International journal of vehicle systems modelling and testing Issue: Volume 5:Number 1(2010) Page Start: 72 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗