Sparse Representation Convolutional Autoencoder for Feature Learning of Vibration Signals and its Applications in Machinery Fault Diagnosis

Gear pitting fault diagnosis with mixed operating conditions based on adaptive 1D separable convolution with residual connection

(2020) Xueyi Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

One-Dimensional Residual Convolutional Autoencoder Based Feature Learning for Gearbox Fault Diagnosis

(2020) Jianbo Yu et al.   IEEE Transactions on Industrial Informatics

Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample

(2020) Syahril Ramadhan Saufi et al.   IEEE Transactions on Industrial Informatics

An improved deep residual network with multiscale feature fusion for rotating machinery fault diagnosis

(2020) Feiyue Deng et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Multi-branch CNNs with an integrated cross-entropy for fault diagnosis of diesel engine

(2020) Zhao Haipeng et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Improved dual-scale residual network for image super-resolution

(2020) Huan Liu et al.   NEURAL NETWORKS

Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-Speed Train Bogie

(2020) Na Qin et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis

(2020) Minghang Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Magnetic Equivalent Modeling of Stator Currents for Localized Fault Detection of Planetary Gearboxes Coupled to Electric Motors

(2020) Qinkai Han et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault Diagnosis of an Autonomous Vehicle With an Improved SVM Algorithm Subject to Unbalanced Datasets

(2020) Qian Shi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Data-Driven Fault Diagnosis Method Based on Compressed Sensing and Improved Multiscale Network

(2019) Zhong-Xu Hu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Knowledge Transfer for Rotary Machine Fault Diagnosis

(2019) Ruqiang Yan et al.   IEEE SENSORS JOURNAL

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

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

Enhanced Sparse Period-Group Lasso for Bearing Fault Diagnosis

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

Gear fault diagnosis based on the structured sparsity time-frequency analysis

(2018) Ruobin Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Autoencoder With Invertible Functions for Dimension Reduction and Image Reconstruction

(2018) Yimin Yang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Compensating Delays and Noises in Motion Control of Autonomous Electric Vehicles by Using Deep Learning and Unscented Kalman Predictor

(2018) Yanjun Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A survey on Deep Learning based bearing fault diagnosis

(2018) Duy-Tang Hoang et al.   NEUROCOMPUTING

Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD

(2017) Boyuan Yang et al.   IEEE Transactions on Industrial Informatics

Feature learning and change feature classification based on deep learning for ternary change detection in SAR images

(2017) Maoguo Gong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

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

Group Sparse-Based Mid-Level Representation for Action Recognition

(2017) Shiwei Zhang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Compressed sensing based on dictionary learning for extracting impulse components

(2013) Xuefeng Chen et al.   SIGNAL PROCESSING

Online Motor Fault Detection and Diagnosis Using a Hybrid FMM-CART Model

(2013) Manjeevan Seera et al.   IEEE Transactions on Neural Networks and Learning Systems