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

Sequential grid approach based support vector regression for short-term electric load forecasting

(2019) Youlong Yang et al.   APPLIED ENERGY

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 Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance

(2019) Yaping Deng et al.   IEEE Transactions on Industrial Informatics

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

Estimation of Bearing Remaining Useful Life based on Multiscale Convolutional Neural Network

(2018) Jun Zhu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders

(2018) Han Liu et al.   ISA TRANSACTIONS

Remaining useful life estimation in prognostics using deep convolution neural networks

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

A novel soft computing method for engine RUL prediction

(2017) Sandip Kumar Singh et al.   MULTIMEDIA TOOLS AND APPLICATIONS

An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition

(2017) Eleni Tsironi et al.   NEUROCOMPUTING

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

(2017) Liang Guo et al.   NEUROCOMPUTING

A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network

(2017) Arash Gharehbaghi et al.   IEEE Transactions on Neural Networks and Learning Systems

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

Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions

(2016) Hao Yan et al.   IEEE TRANSACTIONS ON RELIABILITY

Gas turbine engine prognostics using Bayesian hierarchical models: A variational approach

(2016) Martha A. Zaidan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning

(2015) Yann LeCun et al.   NATURE

A pattern recognition framework for detecting dynamic changes on cyclic time series

(2015) Arash Gharehbaghi et al.   PATTERN RECOGNITION

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prognostic modelling options for remaining useful life estimation by industry

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