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

Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization

(2021) Yong Zhu et al.   APPLIED ACOUSTICS

Monitoring on triboelectric nanogenerator and deep learning method

(2021) Jian Yu et al.   Nano Energy

On Interpretability of Artificial Neural Networks: A Survey

(2021) Feng-Lei Fan et al.   IEEE Transactions on Radiation and Plasma Medical Sciences

Fast Sparsity-Assisted Signal Decomposition With Nonconvex Enhancement for Bearing Fault Diagnosis

(2021) Zhibin Zhao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Rolling-Element Bearing Fault Diagnosis Using Improved LeNet-5 Network

(2020) Lanjun Wan et al.   SENSORS

Particle-Laden Droplet-Driven Triboelectric Nanogenerator for Real-Time Sediment Monitoring Using a Deep Learning Method

(2020) Lei Yang et al.   ACS Applied Materials & Interfaces

Potential, challenges and future directions for deep learning in prognostics and health management applications

(2020) Olga Fink et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

(2020) Zhibin Zhao et al.   ISA TRANSACTIONS

Understanding and Improving Deep Learning-Based Rolling Bearing Fault Diagnosis with Attention Mechanism

(2019) Xiang Li et al.   SIGNAL PROCESSING

A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis

(2019) Zhibin Zhao et al.   JOURNAL OF SOUND AND VIBRATION

NOSCNN: A robust method for fault diagnosis of RV reducer

(2019) Peng Peng et al.   MEASUREMENT

Hierarchical hyper-Laplacian prior for weak fault feature enhancement

(2019) Zhibin Zhao et al.   ISA TRANSACTIONS

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

(2019) Yalin Wang et al.   ISA TRANSACTIONS

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

(2019) Te Han et al.   ISA TRANSACTIONS

Interpretable Convolutional Neural Network Through Layer-wise Relevance Propagation for Machine Fault Diagnosis

(2019) John Grezmak et al.   IEEE SENSORS JOURNAL

Deep Residual Shrinkage Networks for Fault Diagnosis

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

Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis

(2018) Zhao Zhibin 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

Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

(2018) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder

(2018) Changqing Shen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Sparse, collaborative, or nonnegative representation: Which helps pattern classification?

(2018) Jun Xu et al.   PATTERN RECOGNITION

Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery

(2017) Te Han et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis

(2017) Long Wen et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

(2016) Meng Gan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep learning

(2015) Yann LeCun et al.   NATURE

Dictionary Learning for Fast Classification Based on Soft-thresholding

(2014) Alhussein Fawzi et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Enhancing Sparsity by Reweighted ℓ 1 Minimization

(2008) Emmanuel J. Candès et al.   JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS