HIGHLIGHTS
- who: ACRONY and colleagues from the JIAizpurua Vare with Institute of Energy Environment, University of Strathclyde, Glasgow, UK (e-mail: have published the Article: Improved Dynamic Dependability Assessment through Integration with Prognostics, in the Journal: (JOURNAL)
- what: The focus of this paper is on prognostics because it can be used within the dependability S assessment process integrating up-to-date health data and likely future degradation predictions. This approach provides improved prediction of dependability. The second contribution of the paper is the technical model transformation algorithm from BDMP models into SAN models which enables computational . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.