26 citations · 44 across the 8 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders
Manuel Arias Chao, Bryan T. Adey, Olga Fink
Data-driven fault diagnostics of safety-critical systems often faces the challenge of a complete lack of labeled data associated with faulty system conditions (i.e., fault types) a…
eess.SY2019★ 26 cited
Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models
Manuel Arias Chao, Chetan Kulkarni, Kai Goebel +1
With the increased availability of condition monitoring data and the increased complexity of explicit system physics-based models, the application of data-driven approaches for fau…