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Feng Ju

Partially observable Markov decision process framework for operating condition optimization using real-time degradation signals
Optimizing Multiple Condition Policy Based on Real-time Degradation Signals via Model-based Reinforcement Learning
Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection
Performance Evaluation of Production Systems Using Real-Time Machine Degradation Signals
Semi-supervised constrained hidden Markov model using multiple sensors for remaining useful life prediction and optimal predictive maintenance— For remaining useful life prediction and optimal predictive maintenance
Real-time production performance analysis using machine degradation signals— A two-machine case

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