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| Transfer Learning for Machine Diagnostics and Prognostics |
| Keywords | Transfer Learning, Domain adaptation, Domain Adversarial Neural Networks, Fault diagnosis, Prognostics + |
|---|---|
| Level | Master + |
| OneLineSummary | Develop a deep adversarial neural networks (DANN) based method to predict failures and estimate machine health, under transfer learning settings. + |
| Prerequisites | Artificial Intelligence and Learning Systems courses; good knowledge of machine learning and neural networks; programming skills for implementing machine learning algorithms + |
| StudentProjectStatus | Open + |
| Supervisors | Yuantao Fan + , Sepideh Pashami + , Mohammad Ghaith Altarabichi + |
| TimeFrame | Fall 2019 + |
| Title | Transfer Learning for Machine Diagnostics and Prognostics + |
| Categories | StudentProject + |
| Modification dateThis property is a special property in this wiki. | 14 October 2019 09:39:07 + |
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