Top Cited Papers
Updated for January 2021.
2020
An improved quantum-inspired differential evolution algorithm for deep belief network
W Deng, H Liu, J Xu, H Zhao…
Evolving fuzzy models for prosthetic hand myoelectric-based control
RE Precup, TA Teban, A Albu, AB Borlea…
Automated Visual Defect Detection for Flat Steel Surface: A Survey
Q Luo, X Fang, L Liu, C Yang…
Contact Wire Irregularity Stochastics and Effect on High-speed Railway Pantograph-Catenary Interactions
Y Song, Z Liu, A Rxnnquist, P Navik…
Generative Principal Component Thermography for Enhanced Defect Detection and Analysis
K Liu, Y Li, J Yang, Y Liu, Y Yao
Compound bearing fault detection under varying speed conditions with virtual multichannel signals in angle domain
G Tang, Y Wang, Y Huang, N Liu…
Thickness measurement of metallic plates with finite planar dimension using eddy current method
R Huang, M Lu, A Peyton, W Yin
Time sequence learning for electrical impedance tomography using Bayesian spatiotemporal priors
S Liu, R Cao, Y Huang…
A novel densely connected convolutional neural network for sea-state estimation using ship motion data
X Cheng, G Li, AL Ellefsen, S Chen…
2019
Performance prediction using high-order differential mathematical morphology gradient spectrum entropy and extreme learning machine
H Zhao, H Liu, J Xu, W Deng
A combined polynomial chirplet transform and synchroextracting technique for analyzing nonstationary signals of rotating machinery
K Yu, TR Lin, H Ma, H Li, J Zeng
Online fault diagnosis method based on transfer convolutional neural networks
G Xu, M Liu, Z Jiang, W Shen…
An end-to-end steel surface defect detection approach via fusing multiple hierarchical features
Y He, K Song, Q Meng, Y Yan
A novel weighted sparse representation classification strategy based on dictionary learning for rotating machinery
H Wang, B Ren, L Song, L Cui
A novel sparse echo autoencoder network for data-driven fault diagnosis of delta 3-D printers
J Long, Z Sun, C Li, Y Hong, Y Bai…
Tacholess speed estimation in order tracking: A review with application to rotating machine fault diagnosis
S Lu, R Yan, Y Liu, Q Wang
An enhanced intelligent diagnosis method based on multi-sensor image fusion via improved deep learning network
H Wang, S Li, L Song, L Cui…
Research on remaining useful life prediction of rolling element bearings based on time-varying Kalman filter
L Cui, X Wang, H Wang, J Ma
Pantograph-to-OHL arc: Conducted effects in DC railway supply system
G Crotti, A Delle Femine, D Gallo…
LSTM-Based Auto-Encoder Model for ECG Arrhythmias Classification
B Hou, J Yang, P Wang, R Yan
A new two-level hierarchical diagnosis network based on convolutional neural network
L Wen, X Li, L Gao
Weighted cyclic harmonic-to-noise ratio for rolling element bearing fault diagnosis
Z Mo, J Wang, H Zhang, Q Miao
Application of spectral kurtosis and improved extreme learning machine for bearing fault classification
SS Udmale, SK Singh
DCNN-based multi-signal induction motor fault diagnosis
S Shao, R Yan, Y Lu, P Wang…
Discriminative dictionary learning-based multiple component decomposition for detail-preserving noisy image fusion
H Li, Y Wang, Z Yang, R Wang, X Li…
A Concentrated Time–Frequency Analysis Tool for Bearing Fault Diagnosis
G Yu