Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme

Prognosis of a Wind Turbine Gearbox Bearing Using Supervised Machine Learning

(2019) Elasha et al.   SENSORS

Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

(2019) Wennian Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

(2018) Yuting Wu et al.   NEUROCOMPUTING

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep Learning for Computer Vision: A Brief Review

(2018) Athanasios Voulodimos et al.   Computational Intelligence and Neuroscience

Remaining Useful Life Prediction for Lithium-ion Battery: A Deep Learning Approach

(2018) Lei Ren et al.   IEEE Access

Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture

(2018) André Listou Ellefsen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks

(2017) Osama Abdeljaber et al.   JOURNAL OF SOUND AND VIBRATION

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

(2017) Chong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep learning for visual understanding: A review

(2016) Yanming Guo et al.   NEUROCOMPUTING

An adaptive method for health trend prediction of rotating bearings

(2014) Sheng Hong et al.   DIGITAL SIGNAL PROCESSING

Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method

(2014) Sheng Hong et al.   DIGITAL SIGNAL PROCESSING