Name
Abstract | ||
|---|---|---|
The growing importance of maintenance in the evolving industrial scenario and the technological advancements of the recent years have yielded the development of modern maintenance strategies such as the condition-based maintenance (CBM) and the predictive maintenance (PrM). In practice, assessing whether these strategies really improve the maintenance performance becomes a fundamental issue. In the present work, this is addressed with reference to an example concerning the stochastic crack growth of a generic mechanical component subject to fatigue degradation. It is shown that modeling and analysis provide information useful for setting a maintenance policy. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.ress.2012.08.002 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Maintenance performance,Condition-Based Maintenance,Predictive Maintenance,Particle,Filtering | Journal | 109 |
ISSN | Citations | PageRank |
0951-8320 | 26 | 1.11 |
References | Authors | |
13 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrico Zio | 1 | 742 | 57.86 |
| Michele Compare | 2 | 97 | 9.37 |