The application of machine learning for the prognostics and health management of control element drive system
Digital twin technology can provide significant value for the prognostics and health management (PHM) of critical plant components by improving insight into system design and operating conditions. Digital twinning of systems can be utilized for anomaly detection, diagnosis and the estimation of the...
| Autors principals: | , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
Elsevier
2020-10-01
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| Col·lecció: | Nuclear Engineering and Technology |
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| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S1738573319308654 |