| Artificial intelligence in prognostics and health management of engineering systems S Ochella, M Shafiee, F Dinmohammadi Engineering Applications of Artificial Intelligence 108, 104552, 2022 | 80 | 2022 |
| Adopting machine learning and condition monitoring PF curves in determining and prioritizing high-value assets for life extension S Ochella, M Shafiee, C Sansom Expert Systems with Applications 176, 114897, 2021 | 30 | 2021 |
| Performance metrics for artificial intelligence (AI) algorithms adopted in prognostics and health management (PHM) of mechanical systems S Ochella, M Shafiee Journal of Physics: Conference Series 1828 (1), 012005, 2021 | 17 | 2021 |
| Artificial intelligence in prognostic maintenance S Ochella, M Shafiee Proceedings of the 29th European Safety and Reliability Conference (ESREL …, 2019 | 8 | 2019 |
| An RUL-informed approach for life extension of high-value assets S Ochella, M Shafiee, C Sansom Computers & Industrial Engineering 171, 108332, 2022 | 4 | 2022 |
| Requirements for Standards and Regulations in AI-Enabled Prognostics and Health Management S Ochella, M Shafiee, C Sansom 2021 26th International Conference on Automation and Computing (ICAC), 1-6, 2021 | 1 | 2021 |
| Bayesian neural networks for uncertainty quantification in remaining useful life prediction of systems with sensor monitoring S Ochella, F Dinmohammadi, M Shafiee Advances in Mechanical Engineering 16 (7), 16878132241239802, 2024 | | 2024 |
| Advanced data-driven methods for prognostics and life extension of assets using condition monitoring and sensor data. SM Ochella Cranfield University, 2021 | | 2021 |
Fateme DinmohammadiSenior Lecturer in AI & Robotics and Course Director of MSc in Software Eng.在 uwl.ac.uk 的电子邮件经过验证
Fateme DinmohammadiSenior Lecturer in AI & Robotics and Course Director of MSc in Software Eng.在 uwl.ac.uk 的电子邮件经过验证
Chris Sansom在 cranfield.ac.uk 的电子邮件经过验证