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

Control chart pattern recognition using the convolutional neural network

(2019) Tao Zan et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Fault State Recognition of Rolling Bearing Based Fully Convolutional Network

(2018) Wendong Zhang et al.   COMPUTING IN SCIENCE & ENGINEERING

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

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang 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

Multi-level wavelet packet fusion in dynamic ensemble convolutional neural network for fault diagnosis

(2018) Yan Han et al.   MEASUREMENT

Quantitative trend fault diagnosis of a rolling bearing based on Sparsogram and Lempel-Ziv

(2018) Lingli Cui et al.   MEASUREMENT

A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning

(2018) Xiang Li et al.   NEUROCOMPUTING

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

(2018) Sheng Guo et al.   SENSORS

Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks

(2018) Dileep K. Appana et al.   SOFT COMPUTING

A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing

(2018) Lingli Cui et al.   MEASUREMENT

HVSRMS localization formula and localization law: Localization diagnosis of a ball bearing outer ring fault

(2018) Lingli Cui et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Application of pattern recognition in gear faults based on the matching pursuit of a characteristic waveform

(2017) Lingli Cui et al.   MEASUREMENT

An adaptive deep convolutional neural network for rolling bearing fault diagnosis

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

A SVM framework for fault detection of the braking system in a high speed train

(2017) Jie Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao 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

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

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

(2016) Meng Gan 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

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

Research of weak fault feature information extraction of planetary gear based on ensemble empirical mode decomposition and adaptive stochastic resonance

(2015) Xi-hui Chen et al.   MEASUREMENT

Compressed sensing of roller bearing fault based on multiple down-sampling strategy

(2015) Huaqing Wang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A summary of fault modelling and predictive health monitoring of rolling element bearings

(2015) Idriss El-Thalji et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of rolling bearings using a genetic algorithm optimized neural network

(2014) Muhammet Unal et al.   MEASUREMENT

Rolling bearing fault detection using an adaptive lifting multiwavelet packet with a $\rm 1}\frac{{\rm 1\rm 2$ dimension spectrum

(2013) Hongkai Jiang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Failure diagnosis using deep belief learning based health state classification

(2013) Prasanna Tamilselvan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Fault Analysis and Condition Monitoring of the Wind Turbine Gearbox

(2012) Zijun Zhang et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network

(2012) Zhenyou Zhang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A review on empirical mode decomposition in fault diagnosis of rotating machinery

(2012) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs

(2009) Yaguo Lei et al.   MEASUREMENT SCIENCE and TECHNOLOGY