1. A Bayesian framework for fatigue life prediction of composite laminates under co-existing matrix cracks and delamination. (1st March 2018) Authors: Corbetta, Matteo; Sbarufatti, Claudio; Giglio, Marco; Saxena, Abhinav; Goebel, Kai Journal: Composite structures Issue: Volume 187(2018) Page Start: 58 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A new algorithm for prognostics using Subset Simulation. (December 2017) Authors: Chiachío, Manuel; Chiachío, Juan; Sankararaman, Shankar; Goebel, Kai; Andrews, John Journal: Reliability engineering & system safety Issue: Volume 168(2017) Page Start: 189 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. An investigation of strain energy release rate models for real-time prognosis of fiber-reinforced laminates. (1st April 2017) Authors: Corbetta, Matteo; Saxena, Abhinav; Giglio, Marco; Goebel, Kai Journal: Composite structures Issue: Volume 165(2017) Page Start: 99 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Bayesian hierarchical model-based prognostics for lithium-ion batteries. (April 2018) Authors: Mishra, Madhav; Martinsson, Jesper; Rantatalo, Matti; Goebel, Kai Journal: Reliability engineering & system safety Issue: Volume 172(2018) Page Start: 25 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Conceptual design of cogeneration plants under a resilient design perspective: Resilience metrics and case study. (1st April 2018) Authors: Matelli, José Alexandre; Goebel, Kai Journal: Applied energy Issue: Volume 215(2018) Page Start: 736 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Condition-based prediction of time-dependent reliability in composites. (October 2015) Authors: Chiachío, Juan; Chiachío, Manuel; Sankararaman, Shankar; Saxena, Abhinav; Goebel, Kai Journal: Reliability engineering & system safety Issue: Volume 142(2015:Oct.) Page Start: 134 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Editorial: Special issue on Physics-informed machine learning enabling fault feature extraction and robust failure prognosis. (1st June 2023) Authors: Hu, Chao; Goebel, Kai; Howey, David; Peng, Zhike; Wang, Dong; Wang, Peng; Youn, Byeng D. Journal: Mechanical systems and signal processing Issue: Volume 192(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Fusing physics-based and deep learning models for prognostics. (January 2022) Authors: Arias Chao, Manuel; Kulkarni, Chetan; Goebel, Kai; Fink, Olga Journal: Reliability engineering & system safety Issue: Volume 217(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Improving tail accuracy of the predicted cumulative distribution function of time of failure. (March 2021) Authors: Sierra, Gina; Robinson, Elinirina I.; Goebel, Kai Journal: Reliability engineering & system safety Issue: Volume 207(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. In-situ fatigue life prognosis for composite laminates based on stiffness degradation. (15th November 2015) Authors: Peng, Tishun; Liu, Yongming; Saxena, Abhinav; Goebel, Kai Journal: Composite structures Issue: Volume 132(2016) Page Start: 155 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗