Discriminative feature learning using a multiscale convolutional capsule network from attitude data for fault diagnosis of industrial robots

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network

(2022) Xiaoli Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

A novel self-training semi-supervised deep learning approach for machinery fault diagnosis

(2022) Jianyu Long et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Sparse Autoencoder-based Multi-head Deep Neural Networks for Machinery Fault Diagnostics with Detection of Novelties

(2021) Zhe Yang et al.   Chinese Journal of Mechanical Engineering

Human motion state recognition based on MEMS sensors and Zigbee network

(2021) Qing Liu   COMPUTER COMMUNICATIONS

Robot Localization and Navigation Using Visible Light Positioning and SLAM Fusion

(2021) Weipeng Guan et al.   JOURNAL OF LIGHTWAVE TECHNOLOGY

A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity

(2021) Dawei Gao et al.   KNOWLEDGE-BASED SYSTEMS

Enhanced hierarchical symbolic dynamic entropy and maximum mean and covariance discrepancy-based transfer joint matching with Welsh loss for intelligent cross-domain bearing health monitoring

(2021) Cheng Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults

(2021) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Kinematics analysis and workspace optimization for a 4-DOF 3T1R parallel manipulator

(2021) Jie Zhao et al.   MECHANISM AND MACHINE THEORY

Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion

(2021) Meidi Sun et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring

(2021) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

(2021) Tianfu Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A novel model with the ability of few-shot learning and quick updating for intelligent fault diagnosis

(2020) Zhijun Ren et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

(2020) Zhibin Zhao et al.   ISA TRANSACTIONS

Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots

(2020) Jianyu Long et al.   JOURNAL OF MANUFACTURING SYSTEMS

Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis

(2020) Moslem Azamfar et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A systematic review of deep transfer learning for machinery fault diagnosis

(2020) Chuan Li et al.   NEUROCOMPUTING

Knowledge mapping-based adversarial domain adaptation: A novel fault diagnosis method with high generalizability under variable working conditions

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

Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning

(2020) Yibin Li et al.   IEEE Transactions on Industrial Informatics

Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

(2020) Xiaoli Zhao et al.   IEEE Transactions on Industrial Informatics

Evolving Deep Echo State Networks for Intelligent Fault Diagnosis

(2019) Jianyu Long et al.   IEEE Transactions on Industrial Informatics

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

An Estimator for UAV Attitude Determination based on Accelerometers, GNSS Sensors, and Aerodynamic Coefficients

(2018) Raúl de Celis et al.   Navigation-Journal of the Institute of Navigation

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

(2018) Te Han et al.   KNOWLEDGE-BASED SYSTEMS

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Accurate Attitude Estimation of a Moving Land Vehicle Using Low-Cost MEMS IMU Sensors

(2017) Hamad Ahmed et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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

(2017) Liang Guo et al.   NEUROCOMPUTING

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

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

Fault diagnosis of industrial robot gears based on discrete wavelet transform and artificial neural network

(2016) Alaa Abdulhady Jaber et al.   INSIGHT

Thruster fault diagnosis method based on Gaussian particle filter for autonomous underwater vehicles

(2016) Yu-shan Sun et al.   International Journal of Naval Architecture and Ocean Engineering

An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks

(2014) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS