1. A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks. (June 2020) Authors: Chen, Zhuyun; Mauricio, Alexandre; Li, Weihua; Gryllias, Konstantinos Journal: Mechanical systems and signal processing Issue: Volume 140(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. 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) ↗
3. Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence. (June 2020) Authors: Mauricio, Alexandre; Qi, Junyu; Smith, Wade A.; Sarazin, Mathieu; Randall, Robert B.; Janssens, Karl; Gryllias, Konstantinos Journal: Mechanical systems and signal processing Issue: Volume 140(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions. (October 2020) Authors: Mauricio, Alexandre; Smith, Wade A.; Randall, Robert B.; Antoni, Jerome; Gryllias, Konstantinos Journal: Mechanical systems and signal processing Issue: Volume 144(2020) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗