Name
Abstract | ||
|---|---|---|
The use of average data for dependability assessments results in an outdated system-level dependability estimation, which can lead to incorrect design decisions. With increasing availability of online data, there is room to improve traditional dependability assessment techniques. Namely, prognostics is an emerging field, which provides asset-specific failure information that can be reused to impro... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TR.2017.2693821 | IEEE Transactions on Reliability |
Keywords | Field | DocType |
Maintenance engineering,Reliability,Mathematical model,Planning,Degradation,Safety,Computational modeling | Interdependence,Dependability,Prognostics,Unavailability,Condition monitoring,Engineering,Maintenance engineering,Reliability engineering,Electricity generation | Journal |
Volume | Issue | ISSN |
66 | 3 | 0018-9529 |
Citations | PageRank | References |
2 | 0.38 | 22 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Ignacio Aizpurua | 1 | 23 | 5.18 |
| Victoria Catterson | 2 | 30 | 5.22 |
| Yiannis Papadopoulos | 3 | 443 | 44.51 |
| Ferdinando Chiacchio | 4 | 109 | 11.99 |
| Gabriele Manno | 5 | 82 | 5.02 |