Browsing by Person fink
Showing results 1 to 14 of 14
| Issue Date | Title | Involved Person(s) |
| 2015 | A classification framework for predicting components' remaining useful life based on discrete-event diagnostic data | Fink, Olga; Zio, Enrico; Weidmann, Ulrich |
| 2017 | Assessment of maintenance strategies for railway vehicles using Petri-Nets | Eisenberger, Daniel; Fink, Olga |
| 2017 | Cluster analysis of condition monitoring data | Fink, Olga; Jenni, Lukas; Nguyen, Hong Son; Ponnudurai, Nirujan; Subbiah, Subanatarajan, et al |
| 2018 | Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction | Chen, Yann Qi; Fink, Olga; Sansavini, Giovanni |
| 2017 | Deep feature learning network for fault detection and isolation | Michau, Gabriel; Thomas, Palmé; Fink, Olga |
| 2016 | Deep health indicator extraction : a method based on auto-encoders and extreme learning machines | Hu, Yang; Palmé, Thomas; Fink, Olga |
| 2015 | Development and application of deep belief networks for predicting railway operations disruptions | Fink, Olga; Zio, Enrico; Weidmann, Ulrich |
| 2017 | Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines | Hu, Yang; Palmé, Thomas; Fink, Olga |
| 2015 | Fuzzy classification with restricted Boltzman machines and echo-state networks for predicting potential railway door system failures | Fink, Olga; Zio, Enrico; Weidmann, Ulrich |
| 2016 | Maximal information-based nonparametric exploration for condition monitoring data | Hu, Yang; Palmé, Thomas; Fink, Olga |
| 2016 | Online sequential extreme learning machines for fault detection | Hu, Yang; Fink, Olga; Palme, Thomas |
| 2017 | Prognostics and health management in railways | Dersin, P.; Alessi, A.; Lamoureux, B.; Brahimi, M.; Fink, Olga |
| 2016 | Two machine learning approaches for short-term wind speed time-series prediction | Ak, Ronay; Fink, Olga; Zio, Enrico |
| Sep-2014 | Vorausschauende Instandhaltung der Eisenbahnsysteme mit Hilfe der künstlichen Intelligenz | Fink, Olga; Weidmann, Ulrich |
