Bearing Fault Diagnosis Based on Shallow Multi-Scale Convolutional Neural Network with Attention

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

(2019) Wenyi Huang et al.   NEUROCOMPUTING

Application of Multi-Dimension Input Convolutional Neural Network in Fault Diagnosis of Rolling Bearings

(2019) Tao Zan et al.   Applied Sciences-Basel

Estimation of Bearing Remaining Useful Life based on Multiscale Convolutional Neural Network

(2018) Jun Zhu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network

(2018) Sheng Guo et al.   SENSORS

A bearing vibration data analysis based on spectral kurtosis and ConvNet

(2018) Sandeep S. Udmale et al.   SOFT COMPUTING

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

Signal processing for TFR of synchro-phasor data

(2017) Sanjay Singh Negi et al.   IET Generation Transmission & Distribution

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

Motor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K-Nearest Neighbor Distance Analysis

(2016) Jing Tian et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

(2016) Akhand Rai et al.   TRIBOLOGY INTERNATIONAL

A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM

(2015) Xiaoyuan Zhang et al.   MEASUREMENT

Novel method for bearing performance degradation assessment – A kernel locality preserving projection-based approach

(2013) Chuang Sun et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Bearing performance degradation assessment using locality preserving projections and Gaussian mixture models

(2011) Jianbo Yu   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution

(2010) Baoping Tang et al.   RENEWABLE ENERGY