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

Development of a LeNet-5 Gas Identification CNN Structure for Electronic Noses

(2019) Guangfen Wei et al.   SENSORS

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

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

A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery

(2019) Shangjun Ma et al.   SENSORS

Improved Traffic Sign Detection and Recognition Algorithm for Intelligent Vehicles

(2019) Jingwei Cao et al.   SENSORS

Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions

(2019) Hengchang Liu et al.   SENSORS

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

(2018) Long Wen 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

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

Extraction of repetitive transients with frequency domain multipoint kurtosis for bearing fault diagnosis

(2018) Yuhe Liao et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu 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

A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network

(2018) Mario de Oliveira et al.   SENSORS

Time–frequency analysis for bearing fault diagnosis using multiple Q-factor Gabor wavelets

(2018) Xin Zhang et al.   ISA TRANSACTIONS

Research on bearing fault feature extraction based on singular value decomposition and optimized frequency band entropy

(2018) Hua Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Detection and Severity Identification of Ball Bearings by Online Condition Monitoring

(2018) Osama Abdeljaber et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Analysis of Statistical Time-Domain Features Effectiveness in Identification of Bearing Faults From Vibration Signal

(2017) B. R. Nayana et al.   IEEE SENSORS JOURNAL

Deep Learning Based Approach for Bearing Fault Diagnosis

(2017) Miao He et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Bearing Fault Detection by One-Dimensional Convolutional Neural Networks

(2017) Levent Eren   MATHEMATICAL PROBLEMS IN ENGINEERING

An adaptive deep convolutional neural network for rolling bearing fault diagnosis

(2017) Wang Fuan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis

(2017) Shaobo Li et al.   SENSORS

Improved LMD, Permutation Entropy and Optimized K-Means to Fault Diagnosis for Roller Bearings

(2016) Zongli Shi et al.   Entropy

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

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

(2016) Xiaojie Guo et al.   MEASUREMENT

Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals

(2016) Hongmei Liu et al.   SHOCK AND VIBRATION

Isomap and Deep Belief Network-Based Machine Health Combined Assessment Model

(2016) Aijun Yin et al.   STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING

Feature extraction and recognition for rolling element bearing fault utilizing short-time Fourier transform and non-negative matrix factorization

(2014) Huizhong Gao et al.   Chinese Journal of Mechanical Engineering