Junsheng Cheng
Orcid: 0009-0009-1587-6324
According to our database1,
Junsheng Cheng
authored at least 35 papers
between 2005 and 2023.
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Bibliography
2023
The Partial Reconstruction Symplectic Geometry Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis.
Sensors, September, 2023
Multivariate complex modulation model decomposition and its application to gear fault diagnosis.
Digit. Signal Process., April, 2023
A novel fault diagnosis framework for rotating machinery with hierarchical multiscale symbolic diversity entropy and robust twin hyperdisk-based tensor machine.
Reliab. Eng. Syst. Saf., 2023
Roller Bearing Fault Diagnosis Based on Partial Reconstruction Symplectic Geometry Mode Decomposition and LightGBM.
IEEE Access, 2023
2022
IEEE Trans. Ind. Informatics, 2022
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine.
IEEE Trans. Ind. Electron., 2022
High-accuracy gearbox health state recognition based on graph sparse random vector functional link network.
Reliab. Eng. Syst. Saf., 2022
A Fault Detection Method Based on an Oil Temperature Forecasting Model Using an Improved Deep Deterministic Policy Gradient Algorithm in the Helicopter Gearbox.
Entropy, 2022
Adaptive quaternion multivariate local characteristic-scale decomposition and its application to gear fault diagnosis.
Digit. Signal Process., 2022
Sparse random projection-based hyperdisk classifier for bevel gearbox fault diagnosis.
Adv. Eng. Informatics, 2022
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix.
Adv. Eng. Informatics, 2022
2021
Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis.
Knowl. Based Syst., 2021
2020
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing.
Knowl. Based Syst., 2020
Extensible and displaceable hyperdisk based classifier for gear fault intelligent diagnosis.
Knowl. Based Syst., 2020
Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples.
Knowl. Based Syst., 2020
Symplectic interactive support matrix machine and its application in roller bearing condition monitoring.
Neurocomputing, 2020
Symplectic incremental matrix machine and its application in roller bearing condition monitoring.
Appl. Soft Comput., 2020
An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE.
Adv. Eng. Informatics, 2020
2019
Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings.
Knowl. Based Syst., 2019
An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis.
Neurocomputing, 2019
A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis.
Comput. Ind., 2019
Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning.
IEEE Access, 2019
Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples.
IEEE Access, 2019
2017
Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis.
Signal Process., 2017
VPMCD based novelty detection method on and its application to fault identification for local characteristic-scale decomposition.
Clust. Comput., 2017
2016
A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine.
Knowl. Based Syst., 2016
2015
A generalized Gilbert algorithm and an improved MIES for one-class support vector machine.
Knowl. Based Syst., 2015
Roller Bearing Fault Diagnosis Method Based on Chemical Reaction Optimization and Support Vector Machine.
J. Comput. Civ. Eng., 2015
2014
IEEE Trans. Instrum. Meas., 2014
Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing.
Signal Process., 2014
2012
Digit. Signal Process., 2012
2009
Application of the improved generalized demodulation time-frequency analysis method to multi-component signal decomposition.
Signal Process., 2009
2008
EURASIP J. Adv. Signal Process., 2008
2005
Proceedings of the 14th international conference on World Wide Web, 2005