175 citations · 244 across the 7 of their papers we have counts for
Showing 2020Show all
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eess.SP2020
Potential, Challenges and Future Directions for Deep Learning in Prognostics and Health Management Applications
Olga Fink, Qin Wang, Markus Svensén +3
Deep learning applications have been thriving over the last decade in many different domains, including computer vision and natural language understanding. The drivers for the vibr…
cs.LG2020★ 41 cited
Temporal signals to images: Monitoring the condition of industrial assets with deep learning image processing algorithms
Gabriel Rodriguez Garcia, Gabriel Michau, Mélanie Ducoffe +2
The ability to detect anomalies in time series is considered highly valuable in numerous application domains. The sequential nature of time series objects is responsible for an add…