Noisy parallel hybrid model of NBGRU and NCNN architectures for remaining useful life estimation

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

Gear Pitting Fault Diagnosis Using Integrated CNN and GRU Network with Both Vibration and Acoustic Emission Signals

(2019) Xueyi Li et al.   Applied Sciences-Basel

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

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

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

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

A novel deep capsule neural network for remaining useful life estimation

(2019) Andrés Ruiz-Tagle Palazuelos et al.   Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability

A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions

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

NBLSTM: Noisy and Hybrid CNN and BLSTM-based Deep Architecture for Remaining Useful Life Estimation

(2019) Ali Al-dulaimi et al.   JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING

A Novel Deep Learning Approach for Machinery Prognostics Based on Time Windows

(2019) Hanbo Yang et al.   Applied Sciences-Basel

Deep separable convolutional network for remaining useful life prediction of machinery

(2019) Biao Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

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

Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network

(2018) Lei Ren et al.   IEEE Access

Deep learning and its applications to machine health monitoring

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

Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation

(2018) Ansi Zhang et al.   Applied Sciences-Basel

Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis

(2017) Wenjun Sun et al.   IEEE Transactions on Industrial Informatics

Deep quantum inspired neural network with application to aircraft fuel system fault diagnosis

(2017) Zehai Gao et al.   NEUROCOMPUTING

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

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning

(2016) Chuan Li et al.   SENSORS

Data-Based Techniques Focused on Modern Industry: An Overview

(2015) Shen Yin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fast Linear SVM Validation Based on Early Stopping in Iterative Learning

(2015) Mahmoud Famouri et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

A review on prognostic techniques for non-stationary and non-linear rotating systems

(2015) Man Shan Kan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gearbox Fault Identification and Classification with Convolutional Neural Networks

(2015) ZhiQiang Chen et al.   SHOCK AND VIBRATION

Noisy training for deep neural networks in speech recognition

(2015) Shi Yin et al.   EURASIP Journal on Audio Speech and Music Processing

Adaptive composite filters for pattern recognition in nonoverlapping scenes using noisy training images

(2013) Pablo Mario Aguilar-González et al.   PATTERN RECOGNITION LETTERS

A comparative study of Naïve Bayes classifier and Bayes net classifier for fault diagnosis of monoblock centrifugal pump using wavelet analysis

(2012) V. Muralidharan et al.   APPLIED SOFT COMPUTING