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

Tacho-less sparse CNN to detect defects in rotor-bearing systems at varying speed

(2021) Anil Kumar et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Sparse transfer learning for identifying rotor and gear defects in the mechanical machinery

(2021) Anil Kumar et al.   MEASUREMENT

Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump

(2021) Anil Kumar et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multireceptive Field Denoising Residual Convolutional Networks for Fault Diagnosis

(2021) Yadong Xu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A systematic review of deep transfer learning for machinery fault diagnosis

(2020) Chuan Li et al.   NEUROCOMPUTING

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

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

A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery

(2020) Xinya Wu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

A transfer convolutional neural network for fault diagnosis based on ResNet-50

(2019) Long Wen et al.   NEURAL COMPUTING & APPLICATIONS

A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings

(2019) Meidi Sun et al.   MEASUREMENT

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network

(2019) Zhuyun Chen et al.   IEEE Transactions on Industrial Informatics

Fault diagnosis of rolling bearings using weighted horizontal visibility graph and graph Fourier transform

(2019) Yiyuan Gao et al.   MEASUREMENT

Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder

(2019) He Zhiyi et al.   MEASUREMENT

M-band flexible wavelet transform and its application to the fault diagnosis of planetary gear transmission systems

(2019) Yi Qin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier

(2018) Levent Eren et al.   Journal of Signal Processing Systems for Signal Image and Video Technology

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

(2018) Xiaoan Yan et al.   NEUROCOMPUTING

An enhancement denoising autoencoder for rolling bearing fault diagnosis

(2018) Zong Meng et al.   MEASUREMENT

An enhancement deep feature fusion method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   KNOWLEDGE-BASED SYSTEMS

A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery

(2017) Ming Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

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

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

(2016) Jinglong Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis in Industrial Induction Machines Through Discrete Wavelet Transform

(2010) Ahcène Bouzida et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS