Fault diagnosis of planetary gears based on intrinsic feature extraction and deep transfer learning

Multi-mode data augmentation and fault diagnosis of rotating machinery using modified ACGAN designed with new framework

(2022) Wei Li et al.   ADVANCED ENGINEERING INFORMATICS

Looseness monitoring of multiple M1 bolt joints using multivariate intrinsic multiscale entropy analysis and Lorentz signal-enhanced piezoelectric active sensing

(2022) Rui Yuan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Robust fault diagnosis of rolling bearing via phase space reconstruction of intrinsic mode functions and neural network under various operating conditions

(2022) Rui Yuan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Robust fault diagnosis of rolling bearings via entropy-weighted nuisance attribute projection and neural network under various operating conditions

(2022) Di Yang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

An Intelligent Fault Diagnosis Method of Rolling Bearings via Variational Mode Decomposition and Common Spatial Pattern-Based Feature Extraction

(2022) Zhaolun Li et al.   IEEE SENSORS JOURNAL

Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network

(2022) Hongyu Zhong et al.   NEUROCOMPUTING

Transfer learning networks with skip connections for classification of brain tumors

(2021) Saleh Alaraimi et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Data-driven fault diagnosis method based on the conversion of erosion operation signals into images and convolutional neural network

(2021) Zhijian Wang et al.   PROCESS SAFETY AND ENVIRONMENTAL PROTECTION

Fault Diagnosis of Hydraulic Generator Bearing by VMD-Based Feature Extraction and Classification

(2021) Xuanrong Tang et al.   Iranian Journal of Science and Technology-Transactions of Electrical Engineering

Novel multi-scale dilated CNN-LSTM for fault diagnosis of planetary gearbox with unbalanced samples under noisy environment

(2021) Songyu Han et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Low-speed bearing fault diagnosis based on improved statistical filtering and convolutional neural network

(2021) Miyazaki Shuuji et al.   MEASUREMENT SCIENCE and TECHNOLOGY

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

Fault diagnosis of train rotating parts based on multi-objective VMD optimization and ensemble learning

(2021) Zhenzhen Jin et al.   DIGITAL SIGNAL PROCESSING

Fault Detection in Gears Using Fault Samples Enlarged by a Combination of Numerical Simulation and a Generative Adversarial Network

(2021) Yun Gao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

GMPSO-VMD Algorithm and Its Application to Rolling Bearing Fault Feature Extraction

(2020) Jiakai Ding et al.   SENSORS

FEM Simulation-Based Generative Adversarial Networks to Detect Bearing Faults

(2020) Yun Gao et al.   IEEE Transactions on Industrial Informatics

Applied AI in instrumentation and measurement: The deep learning revolution

(2020) Mounib Khanafer et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE

A hybrid of FEM simulations and generative adversarial networks to classify faults in rotor-bearing systems

(2020) Yun Gao et al.   ISA TRANSACTIONS

A systematic review of deep transfer learning for machinery fault diagnosis

(2020) Chuan Li et al.   NEUROCOMPUTING

An optimized VMD method and its applications in bearing fault diagnosis

(2020) Hua Li et al.   MEASUREMENT

Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images

(2020) Haidong Shao et al.   IEEE Transactions on Industrial Informatics

Weighted sparse representation based on failure dynamics simulation for planetary gearbox fault diagnosis

(2019) Ruo-Bin Sun et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A novel bearing fault diagnosis method based on 2-D image representation and transfer learning–convolutional neural network

(2019) Ping Ma et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis

(2019) Jimeng Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

K-SVD based WVD enhancement algorithm for planetary gearbox fault diagnosis under a CNN framework

(2019) Heng Li et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Detection for weak fault in planetary gear trains based on an improved maximum correlation kurtosis deconvolution

(2019) Jianqun Zhang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks

(2019) Gaowei Xu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

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

Intelligent fault diagnosis of rolling bearings using an improved deep recurrent neural network

(2018) Hongkai Jiang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A parameter-adaptive VMD method based on grasshopper optimization algorithm to analyze vibration signals from rotating machinery

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

Planetary Gears Feature Extraction and Fault Diagnosis Method Based on VMD and CNN

(2018) Chang Liu et al.   SENSORS

Study on planetary gear fault diagnosis based on variational mode decomposition and deep neural networks

(2018) Yong Li et al.   MEASUREMENT

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

Supervised Committee of Convolutional Neural Networks in Automated Facial Expression Analysis

(2017) Gerard Pons et al.   IEEE Transactions on Affective Computing

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING