Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction

Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions

(2021) Wei Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining Useful Life Prediction based on a Multi-Sensor Data Fusion Model

(2020) Naipeng Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A dual-LSTM framework combining change point detection and remaining useful life prediction

(2020) Zunya Shi et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Spatio-temporal AI inference engine for estimating hard disk reliability

(2020) Sanchita Basak et al.   Pervasive and Mobile Computing

DeepChemStable: Chemical Stability Prediction with an Attention-Based Graph Convolution Network

(2019) Xiuming Li et al.   Journal of Chemical Information and Modeling

Bearing performance degradation assessment using long short-term memory recurrent network

(2019) Bin Zhang et al.   COMPUTERS IN INDUSTRY

A multimodal and hybrid deep neural network model for Remaining Useful Life estimation

(2019) Ali Al-Dulaimi et al.   COMPUTERS IN INDUSTRY

Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks

(2019) Huihui Miao et al.   IEEE Transactions on Industrial Informatics

A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

(2019) Cheng-Geng Huang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An improved model for dependent competing risks considering continuous degradation and random shocks

(2019) Jia Wang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Bearing remaining useful life prediction based on deep autoencoder and deep neural networks

(2018) Lei Ren et al.   JOURNAL OF MANUFACTURING SYSTEMS

Remaining useful life estimation in prognostics using deep convolution neural networks

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

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

Hidden Markov model with auto-correlated observations for remaining useful life prediction and optimal maintenance policy

(2017) Zhen Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Remaining Useful Life Estimation by Empirical Mode Decomposition and Support Vector Machine

(2016) Caio Bezerra Souto Maior et al.   IEEE Latin America Transactions

Enhanced particle filter for tool wear prediction

(2015) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS