Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction

4 September 2017

Papers citing "Semi-supervised Learning with Deep Generative Models for Asset Failure Prediction"

8 / 8 papers shown

Title
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 71 91 0 13 Apr 2022
Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision Tilman Krokotsch M. Knaak C. Gühmann 46 22 0 19 Aug 2021
Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities Zhaoyi Xu J. Saleh 81 352 0 19 Aug 2020
Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders M. A. Chao B. Adey Olga Fink DRL 14 3 0 28 Dec 2019
A Comparative Study between Bayesian and Frequentist Neural Networks for Remaining Useful Life Estimation in Condition-Based Maintenance Luca Della Libera BDL UQCV 41 1 0 14 Nov 2019
Domain Adaptation for One-Class Classification: Monitoring the Health of Critical Systems Under Limited Information Gabriel Michau Olga Fink 56 31 0 22 Jul 2019
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models T. Vishnu Diksha Garg Pankaj Malhotra Lovekesh Vig Gautam M. Shroff UQCV 69 16 0 23 Mar 2019
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals Gabriel Michau Yang Hu Thomas Palmé Olga Fink 49 49 0 12 Oct 2018