26 citations · 44 across the 8 of their papers we have counts for
5 papers · 1 filter
Health Index Estimation Through Integration of General Knowledge with Unsupervised Learning
Kristupas Bajarunas, Marcia L. Baptista, Kai Goebel +1
Accurately estimating a Health Index (HI) from condition monitoring data (CM) is essential for reliable and interpretable prognostics and health management (PHM) in complex systems…
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics
Luis Basora, Arthur Viens, Manuel Arias Chao +1
Reliable uncertainty quantification on RUL prediction is crucial for informative decision-making in predictive maintenance. In this context, we assess some of the latest developmen…
Uncertainty-aware Remaining Useful Life predictor
Luca Biggio, Alexander Wieland, Manuel Arias Chao +2
Remaining Useful Life (RUL) estimation is the problem of inferring how long a certain industrial asset can be expected to operate within its defined specifications. Deploying succe…
Battery Model Calibration with Deep Reinforcement Learning
Ajaykumar Unagar, Yuan Tian, Manuel Arias-Chao +1
Lithium-Ion (Li-I) batteries have recently become pervasive and are used in many physical assets. To enable a good prediction of the end of discharge of batteries, detailed electro…
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…