Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Review of Hybrid Prognostics Approaches for Remaining Useful Life Prediction of Engineered Systems, and an Application to Battery Life Prediction
Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
Prognostics and health management using physics-of-failure
Battery lifetime estimation by means of an analytical continuous-time model
A time window neural network based framework for Remaining Useful Life estimation
Remaining Useful Life Estimation of Critical Components With Application to Bearings
A recurrent neural network based health indicator for remaining useful life prediction of bearings
Prediction of Remaining Useful Lifetime (RUL) of turbofan engine using machine learning
Battery lifetime prediction for energy-aware computing
Physics-of-failure-based prognostics for electronic products
State-of-Charge Estimation and State-of-Health Prediction of a Li-Ion Degraded Battery Based on an EKF Combined With a Per-Unit System
Industrial Big Data Analytics for Prediction of Remaining Useful Life Based on Deep Learning
REMAINING LIFE PREDICTION OF ELECTRONIC PRODUCTS USING LIFE CONSUMPTION MONITORING APPROACH
Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
Modeling of lithium-ion battery degradationfor cell life assessment
Intelligent prognostics tools and e-maintenance
Fault diagnosis and remaining useful life estimation of aero engine using LSTM neural network
An analytical model for predicting the remaining battery capacity of lithium-ion batteries
Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles
Direct Remaining Useful Life Estimation Based on Support Vector Regression
A Study of Cardiovascular Disease Prediction Models Using Discriminant Analysis
Improving speech recognition for children using acoustic adaptation and pronunciation modeling.
Matlab-based permanent magnet synchronous motor vector control simulation
A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
H2RDF+: High-performance distributed joins over large-scale RDF graphs