Name
Abstract | ||
|---|---|---|
•Thorough preprocessing steps to cope with the limited on board resources.•Classifier selection for deployment must evaluate different stability matrices.•Pipeline validation using real engine data from a dedicated test bench environment.•Data driven predictive maintenance offers satisfying performance for prognostic.•Mismatch matrix as novel visual representation of classification results. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.115109 | Expert Systems with Applications |
Keywords | DocType | Volume |
Predictive maintenance,Automotive,Machine learning,Classification,SVM,Neural network | Journal | 180 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Danilo Giordano | 1 | 58 | 11.97 |
| Eliana Pastor | 2 | 1 | 3.44 |
| Flavio Giobergia | 3 | 0 | 0.34 |
| Tania Cerquitelli | 4 | 296 | 35.94 |
| Elena Baralis | 5 | 1319 | 186.33 |
| Marco Mellia | 6 | 2748 | 204.65 |
| Alessandra Neri | 7 | 0 | 0.34 |
| Davide Tricarico | 8 | 0 | 0.34 |