Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit

A Genetic Algorithm Optimized RNN-LSTM Model for Remaining Useful Life Prediction of Turbofan Engine

(2021) Kwok Tai Chui et al.   Electronics

Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems

(2021) Seyede Fatemeh Ghoreishi et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Deep Learning Algorithms for Machinery Health Prognostics Using Time-Series Data: A Review

(2021) Nikhil M. Thoppil et al.   Journal of Vibration Engineering & Technologies

A review on the long short-term memory model

(2020) Greg Van Houdt et al.   ARTIFICIAL INTELLIGENCE REVIEW

An optimized model using LSTM network for demand forecasting

(2020) Hossein Abbasimehr et al.   COMPUTERS & INDUSTRIAL ENGINEERING

sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications

(2020) Anh Tran et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Long short-term memory network with multi-resolution singular value decomposition for prediction of bearing performance degradation

(2020) Mengfu He et al.   MEASUREMENT

Prediction of early stabilization time of electrolytic capacitor based on ARIMA-Bi_LSTM hybrid model

(2020) Zeping Wang et al.   NEUROCOMPUTING

Remaining Useful Life Prediction of Airplane Engine Based on PCA–BLSTM

(2020) Shixin Ji et al.   SENSORS

A Deep Learning Model for Smart Manufacturing Using Convolutional LSTM Neural Network Autoencoders

(2020) Aniekan Essien et al.   IEEE Transactions on Industrial Informatics

Real-time Prediction of Remaining Useful Life and Preventive Maintenance Strategy Based on Digital Twin

(2020) Jinyan Guo et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Long-term gear life prediction based on ordered neurons LSTM neural networks

(2020) Haoran Yan et al.   MEASUREMENT

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

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

Remaining Life Prediction Method for Rolling Bearing Based on the Long Short-Term Memory Network

(2019) Fengtao Wang et al.   NEURAL PROCESSING LETTERS

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Parameter identification of health indicator aggregation for decision-making in predictive maintenance: Application to machine tool

(2019) Thomas Laloix et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Feature selection using regularized neighbourhood component analysis to enhance the classification performance of motor imagery signals

(2019) Nitesh Singh Malan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2019) Bin Zhang et al.   COMPUTERS IN INDUSTRY

A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect

(2019) Chao Liu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network

(2019) Jun Wu et al.   ISA TRANSACTIONS

Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey

(2019) Weiting Zhang et al.   IEEE Systems Journal

Tool remaining useful life prediction method based on LSTM under variable working conditions

(2019) Jing-Tao Zhou et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A systematic literature review of machine learning methods applied to predictive maintenance

(2019) Thyago P. Carvalho et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method

(2019) Sen Zhao et al.   MEASUREMENT

Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor

(2019) Diego Cabrera et al.   NEUROCOMPUTING

An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation

(2019) Tangbin Xia et al.   COMPUTERS IN INDUSTRY

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

A systematic development method for cyber-physical machine tools

(2018) Chao Liu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Long short-term memory for machine remaining life prediction

(2018) Jianjing Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Machine health management in smart factory: A review

(2018) Gil-Yong Lee et al.   Journal of Mechanical Science and Technology

Prediction of tool chatter and metal removal rate in turning operation on lathe using a new merged technique

(2018) Shailendra Kumar et al.   Journal of the Brazilian Society of Mechanical Sciences and Engineering

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

(2018) Yuting Wu et al.   NEUROCOMPUTING

Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration

(2018) AbdElRahman ElSaid et al.   APPLIED SOFT COMPUTING

Bidirectional handshaking LSTM for remaining useful life prediction

(2018) Ahmed Elsheikh et al.   NEUROCOMPUTING

Toward Knowledge Management for Smart Manufacturing

(2017) Shaw C. Feng et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

Smart manufacturing based on cyber-physical systems and beyond

(2017) Xifan Yao et al.   JOURNAL OF INTELLIGENT MANUFACTURING

LSTM: A Search Space Odyssey

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

A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction

(2016) Linxia Liao et al.   APPLIED SOFT COMPUTING

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH