Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes

Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network

(2021) Yiwei Cheng et al.   KNOWLEDGE-BASED SYSTEMS

A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings

(2021) Yiwei Cheng et al.   ADVANCED ENGINEERING INFORMATICS

A BiGRU Autoencoder Remaining Useful Life Prediction Scheme With Attention Mechanism and Skip Connection

(2021) Yuhang Duan et al.   IEEE SENSORS JOURNAL

Multiscale deep bidirectional gated recurrent neural networks based prognostic method for complex non-linear degradation systems

(2021) Sourajit Behera et al.   INFORMATION SCIENCES

Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit

(2021) Yu Mo et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A hybrid prognostic method based on gated recurrent unit network and an adaptive Wiener process model considering measurement errors

(2021) Zhen Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Autoencoder Quasi-Recurrent Neural Networks for Remaining Useful Life Prediction of Engineering Systems

(2021) Yiwei Cheng et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A Hybrid Degradation Modeling and Prognostic Method for the Multi-Modal System

(2020) Jun Peng et al.   Applied Sciences-Basel

Remaining useful life prediction using multi-scale deep convolutional neural network

(2020) Han Li et al.   APPLIED SOFT COMPUTING

Remaining useful life prediction via a variational autoencoder and a time-window-based sequence neural network

(2020) Chun Su et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Survey on Deep Neural Networks in Speech and Vision Systems

(2020) M. Alam et al.   NEUROCOMPUTING

Averaged Bi-LSTM networks for RUL prognostics with non-life-cycle labeled dataset

(2020) Yong Yu et al.   NEUROCOMPUTING

Degradation assessment of bearings with trend-reconstruct-based features selection and gated recurrent unit network

(2020) Li Xiao et al.   MEASUREMENT

Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach

(2020) Zhenghua Chen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Analysis of different RNN autoencoder variants for time series classification and machine prognostics

(2020) Wennian Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes

(2020) He Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A New Reinforcement Learning Based Learning Rate Scheduler for Convolutional Neural Network in Fault Classification

(2020) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process

(2019) Jinglong Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

A deep belief network based health indicator construction and remaining useful life prediction using improved particle filter

(2019) Kaixiang Peng et al.   NEUROCOMPUTING

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

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

A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems

(2019) David Laredo et al.   NEURAL NETWORKS

A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

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

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

(2019) Sen Zhao et al.   MEASUREMENT

Convolution and Long Short-Term Memory Hybrid Deep Neural Networks for Remaining Useful Life Prognostics

(2019) Zhengmin Kong et al.   Applied Sciences-Basel

Bayesian Deep-Learning-Based Health Prognostics Toward Prognostics Uncertainty

(2019) Weiwen Peng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture

(2019) Boyuan Yang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network

(2019) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

A New Two-Level Hierarchical Diagnosis Network Based on Convolutional Neural Network

(2019) Long Wen et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system

(2018) Jun Wu et al.   APPLIED SOFT COMPUTING

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

(2018) Rui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Hybrid Approach to Cutting Tool Remaining Useful Life Prediction Based on the Wiener Process

(2018) Huibin Sun et al.   IEEE TRANSACTIONS ON RELIABILITY

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei 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

Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks

(2018)   IEEE Transactions on Industrial Informatics

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bidirectional handshaking LSTM for remaining useful life prediction

(2018) Ahmed Elsheikh et al.   NEUROCOMPUTING

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

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

Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction

(2018) Lei Ren et al.   Future Generation Computer Systems-The International Journal of eScience

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

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

Remaining useful life prediction of aircraft engine based on degradation pattern learning

(2017) Zeqi Zhao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

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

Enhanced Restricted Boltzmann Machine With Prognosability Regularization for Prognostics and Health Assessment

(2016) Linxia Liao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Prognostic modelling options for remaining useful life estimation by industry

(2010) J.Z. Sikorska et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring

(2009) Zhigang Tian   JOURNAL OF INTELLIGENT MANUFACTURING

Physics-of-failure-based prognostics for electronic products

(2009) Michael Pecht et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL