Global contextual feature aggregation networks with multiscale attention mechanism for mechanical fault diagnosis under non-stationary conditions

A speed normalized autoencoder for rotating machinery fault detection under varying speed conditions

(2023) Meng Rao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery

(2023) Yadong Xu et al.   Information Fusion

A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems

(2023) Yadong Xu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Model-driven deep unrolling: Towards interpretable deep learning against noise attacks for intelligent fault diagnosis

(2022) Zhibin Zhao et al.   ISA TRANSACTIONS

Fault classification based on variable‐weighted dynamic sparse stacked autoencoder for industrial processes

(2022) Jie Dong et al.   CANADIAN JOURNAL OF CHEMICAL ENGINEERING

Global contextual residual convolutional neural networks for motor fault diagnosis under variable-speed conditions

(2022) Yadong Xu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Cross-domain meta learning fault diagnosis based on multi-scale dilated convolution and adaptive relation module

(2022) Ruiyi Ma et al.   KNOWLEDGE-BASED SYSTEMS

TDMSAE: A transferable decoupling multi-scale autoencoder for mechanical fault diagnosis

(2022) Shihang Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations

(2022) Kai Zhou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network

(2022) Wenfeng Deng et al.   NEURAL NETWORKS

Multiscale feature extraction from the perspective of graph for hob fault diagnosis using spectral graph wavelet transform combined with improved random forest

(2021) Xin Dong et al.   MEASUREMENT

Subspace Network with Shared Representation learning for intelligent fault diagnosis of machine under speed transient conditions with few samples

(2021) Shen Liu et al.   ISA TRANSACTIONS

A novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis

(2021) Caiyuan Chu et al.   DIGITAL SIGNAL PROCESSING

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

(2020) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults

(2020) Alex Shenfield et al.   SENSORS

Intelligent fault diagnosis method of planetary gearboxes based on convolution neural network and discrete wavelet transform

(2019) Renxiang Chen et al.   COMPUTERS IN INDUSTRY

A new bearing fault diagnosis method based on modified convolutional neural networks

(2019) Jiangquan ZHANG et al.   Chinese Journal of Aeronautics

Deep Residual Shrinkage Networks for Fault Diagnosis

(2019) Minghang Zhao et al.   IEEE Transactions on Industrial Informatics

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions

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

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep residual learning-based fault diagnosis method for rotating machinery

(2018) Wei Zhang et al.   ISA TRANSACTIONS

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

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

Deep learning

(2015) Yann LeCun et al.   NATURE