Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks

4 September 2017

Papers citing "Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks"

6 / 6 papers shown

Title
On Integrating Prior Knowledge into Gaussian Processes for Prognostic Health Monitoring Simon Pfingstl M. Zimmermann 12 18 0 17 Jun 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 35 84 0 13 Apr 2022
Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation Jyoti Narwariya Pankaj Malhotra T. Vishnu L. Vig Gautam M. Shroff AI4CE 24 21 0 30 Jun 2020
Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models T. Vishnu Diksha Garg Pankaj Malhotra L. Vig Gautam M. Shroff UQCV 32 15 0 23 Mar 2019
Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks Sanchita Basak Saptarshi Sengupta A. Dubey 27 3 0 21 Oct 2018
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016