Junsheng Cheng

发表

Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing

Yu Yang, Haidong Shao, Junsheng Cheng, 2020, Knowl. Based Syst..

The support vector machine parameter optimization method based on artificial chemical reaction optimization algorithm and its application to roller bearing fault diagnosis

Yu Yang, Junsheng Cheng, HungLinh Ao, 2015 .

PROCESS METHOD FOR END EFFECTS OF HILBERT-HUANG TRANSFORM BASED ON SUPPORT VECTOR REGRESSION MACHINES

Junsheng Cheng, 2006 .

Local rub-impact fault diagnosis of the rotor systems based on EMD

Yu Yang, Junsheng Cheng, Dejie Yu, 2009 .

ENERGY OPERATOR DEMODULATING APPROACH BASED ON EMD AND ITS APPLICATION IN MECHANICAL FAULT DIAGNOSIS

Junsheng Cheng, 2004 .

Application of the improved generalized demodulation time-frequency analysis method to multi-component signal decomposition

Junsheng Cheng, Dejie Yu, Yu Yang, 2009, Signal Process..

Comprehensive fatigue estimation and fault diagnosis based on Refined Generalized Multi-Scale Entropy method of centrifugal fan blades

Xiaoping Xie, Weidong Chen, Junsheng Cheng, 2020 .

Maximum margin classification based on flexible convex hulls

Ming Zeng, Yu Yang, Jinde Zheng, 2015, Neurocomputing.

Roller Bearing Fault Diagnosis Method Based on Chemical Reaction Optimization and Support Vector Machine

Jinde Zheng, Junsheng Cheng, HungLinh Ao, 2015, J. Comput. Civ. Eng..

Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples

Ping Wang, Yu Yang, Haidong Shao, 2020, Knowl. Based Syst..

Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing

Yu Yang, Jinde Zheng, Junsheng Cheng, 2014, Signal Process..

Nonlinear sparse mode decomposition and its application in planetary gearbox fault diagnosis

Haiyang Pan, Jinde Zheng, Yu Yang, 2021 .

Application of time–frequency entropy method based on Hilbert–Huang transform to gear fault diagnosis

Yu Yang, Junsheng Cheng, Dejie Yu, 2007 .

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

Junsheng Cheng, Yu Yang, Wenyi Huang, 2019, Neurocomputing.

A noise reduction method based on adaptive weighted symplectic geometry decomposition and its application in early gear fault diagnosis

Jian Cheng, Junsheng Cheng, Yu Yang, 2021 .

A fault diagnosis approach for roller bearing based on symplectic geometry matrix machine

Haiyang Pan, Jinde Zheng, Junsheng Cheng, 2019, Mechanism and Machine Theory.

The envelope order spectrum based on generalized demodulation time–frequency analysis and its application to gear fault diagnosis

Yu Yang, Junsheng Cheng, Dejie Yu, 2010 .

An intelligent fault diagnosis model for rotating machinery based on multi-scale higher order singular spectrum analysis and GA-VPMCD

Junsheng Cheng, Ming Zeng, Yu Yang, 2016 .

Symplectic transformation based Variational Bayesian Learning and its applications to gear fault diagnosis

Haiyang Pan, Jinde Zheng, Junsheng Cheng, 2019 .

A roller bearing fault diagnosis method based on the improved ITD and RRVPMCD

Li Ma, Junsheng Cheng, Yu Yang, 2014 .

Symplectic interactive support matrix machine and its application in roller bearing condition monitoring

Xin Li, Yu Yang, Haiyang Pan, 2020, Neurocomputing.

A rolling bearing fault diagnosis approach based on LCD and fuzzy entropy

Jinde Zheng, Yu Yang, Junsheng Cheng, 2013 .

Symplectic weighted sparse support matrix machine for gear fault diagnosis

Jian Cheng, Haidong Shao, Junsheng Cheng, 2021 .

A noise reduction method of symplectic singular mode decomposition based on Lagrange multiplier

Haiyang Pan, Jinde Zheng, Junsheng Cheng, 2019, Mechanical Systems and Signal Processing.

A fault diagnosis approach for roller bearing based on improved intrinsic timescale decomposition de-noising and kriging-variable predictive model-based class discriminate

Li Ma, Haiyang Pan, Yu Yang, 2016 .

Roller Bearing Fault Diagnosis Based on Adaptive Sparsest Narrow-Band Decomposition and MMC-FCH

Yi Liu, Junsheng Cheng, Yanfei Liu, 2019, Shock and Vibration.

Local Characteristic-scale Decomposition Method and Its Application to Gear Fault Diagnosis

Junsheng Cheng, 2012 .

A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine

Ming Zeng, Yu Yang, Junsheng Cheng, 2016, Knowl. Based Syst..

Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples

Haidong Shao, Junsheng Cheng, Zhiyi He, 2019, IEEE Access.

Generalized empirical mode decomposition and its applications to rolling element bearing fault diagnosis

Jinde Zheng, Yu Yang, Junsheng Cheng, 2013 .

VPMCD based novelty detection method on and its application to fault identification for local characteristic-scale decomposition

Junsheng Cheng, Songrong Luo, 2017, Cluster Computing.

Extensible and displaceable hyperdisk based classifier for gear fault intelligent diagnosis

Ping Wang, Yu Yang, Junsheng Cheng, 2020, Knowl. Based Syst..

Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning

Wenyi Huang, Junsheng Cheng, Yu Yang, 2019, IEEE Access.

A generalized Gilbert algorithm and an improved MIES for one-class support vector machine

Ming Zeng, Yu Yang, Junsheng Cheng, 2015, Knowl. Based Syst..

A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis

Xin Li, Jian Cheng, Haiyang Pan, 2019, Comput. Ind..

Optimizing SVM’s parameters based on backtracking search optimization algorithm for gear fault diagnosis

Junsheng Cheng, Viethung Nguyen, Vantrong Thai, 2019 .

Non-parallel least squares support matrix machine for rolling bearing fault diagnosis

Xin Li, Jian Cheng, Yu Yang, 2020 .

Fault feature analysis of cracked gear based on LOD and analytical-FE method

Yu Yang, Junsheng Cheng, Xingkai Yang, 2018 .

Rolling bearing fault diagnosis and performance degradation assessment under variable operation conditions based on nuisance attribute projection

Junsheng Cheng, Yu Yang, Wenyi Huang, 2019, Mechanical Systems and Signal Processing.

An adaptive data-driven method for accurate prediction of remaining useful life of rolling bearings

Yanfeng Peng, Junsheng Cheng, Xuejun Li, 2018 .

Order tracking demodulation analysis based on Ensemble Empirical Mode Decomposition and its applications to fault diagnosis

Yu Wang, Junsheng Cheng, Xiangzhou Wang, 2011, 2011 International Conference on Electrical and Control Engineering.

A novelty detection scheme for rolling bearing based on multiscale fuzzy distribution entropy and hybrid kernel convex hull approximation

Ping Wang, Yu Yang, Haidong Shao, 2020 .

Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings

Yu Yang, Junsheng Cheng, Juan Li, 2019, Knowl. Based Syst..

Gears Fault Diagnosis Method Using Ensemble Empirical Mode Decomposition Energy Entropy Assisted ACROA-RBF Neural Network

DucHieu Le, Yu Yang, Junsheng Cheng, 2016 .

Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis

Junsheng Cheng, Yu Yang, Niaoqing Hu, 2021, Knowl. Based Syst..

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

Haiyang Pan, Jinde Zheng, Junsheng Cheng, 2017 .

A fault diagnosis approach for roller bearing based on VPMCD under variable speed condition

Kang Zhang, Huanhuan Wang, Yu Yang, 2013 .

Empirical Envelope Demodulation Approach Based on Local Characteristic-scale Decomposition and Its applications to Mechanical Fault Diagnosis

Junsheng Cheng, 2012 .

Normalized complex Teager energy operator demodulation method and its application to fault diagnosis in a rubbing rotor system

Ming Zeng, Jinde Zheng, Yu Yang, 2015 .

Symplectic incremental matrix machine and its application in roller bearing condition monitoring

Haiyang Pan, Yu Yang, Junsheng Cheng, 2020, Appl. Soft Comput..

Maximum margin classification based on flexible convex hulls for fault diagnosis of roller bearings

Ming Zeng, Jinde Zheng, Yu Yang, 2016 .

An early fault diagnosis method of gear based on improved symplectic geometry mode decomposition

Xin Li, Jian Cheng, Haiyang Pan, 2020 .

Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis

Haiyang Pan, Jinde Zheng, Junsheng Cheng, 2017, Signal Process..

Support tensor machine with dynamic penalty factors and its application to the fault diagnosis of rotating machinery with unbalanced data

Yu Yang, Haidong Shao, Junsheng Cheng, 2020 .

An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE

Haidong Shao, Junsheng Cheng, Xiang Zhong, 2020, Adv. Eng. Informatics.

A rotating machinery fault diagnosis method based on local mean decomposition

Yi Yang, Yu Yang, Junsheng Cheng, 2012, Digit. Signal Process..

Opinion observer: analyzing and comparing opinions on the Web

Bing Liu, Junsheng Cheng, Minqing Hu, 2005, WWW '05.

A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM

Yu Yang, Junsheng Cheng, Dejie Yu, 2007 .

Kernel flexible and displaceable convex hull based tensor machine for gearbox fault intelligent diagnosis with multi-source signals

Yu Yang, Haidong Shao, Junsheng Cheng, 2020 .

An ensemble local means decomposition method and its application to local rub-impact fault diagnosis of the rotor systems

Kang Zhang, Yu Yang, Junsheng Cheng, 2012 .

An order tracking technique for the gear fault diagnosis using local mean decomposition method

Kang Zhang, Yu Yang, Junsheng Cheng, 2012 .

Rotating machinery fault diagnosis based on multivariate multiscale fuzzy distribution entropy and Fisher score

Junsheng Cheng, Ping Wang, Jian Wang, 2021, Measurement.

Symplectic quaternion singular mode decomposition with application in gear fault diagnosis

Junsheng Cheng, Niaoqing Hu, Zhe Cheng, 2021 .

High-accuracy gearbox health state recognition based on graph sparse random vector functional link network

Haidong Shao, Junsheng Cheng, Xin Li, 2021, Reliab. Eng. Syst. Saf..

Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine

Haidong Shao, Junsheng Cheng, Ziyang Ding, 2022, IEEE Transactions on Industrial Electronics.

Degradation prediction model for proton exchange membrane fuel cells based on long short-term memory neural network and Savitzky-Golay filter

Junsheng Cheng, Zehui Zhang, Bin Zuo, 2021 .

Adaptive periodic mode decomposition and its application in rolling bearing fault diagnosis

Junsheng Cheng, Xin Li, Yu Yang, 2021 .

Application of Self-Adaptive Wavelet Ridge Demodulation Method Based on LCD to Incipient Fault Diagnosis

Junsheng Cheng, Jianping Fu, Songrong Luo, 2015 .

Application of support vector regression machines to the processing of end effects of Hilbert Huang transform

Junsheng Cheng, Dejie Yu, Yu Yang, 2007 .

Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis

Haiyang Pan, Jinde Zheng, Junsheng Cheng, 2019, Mechanical Systems and Signal Processing.

A Fault Diagnosis Model Based on LCD-SVD-ANN-MIV and VPMCD for Rotating Machinery

Kexiang Wei, Junsheng Cheng, Songrong Luo, 2016 .

Application of LCD-SVD Technique and CRO-SVM Method to Fault Diagnosis for Roller Bearing

Junsheng Cheng, HungLinh Ao, Songrong Luo, 2015 .

Gear Fault Diagnosis Method Based on Local Characteristic-Scale Decomposition Multi-Scale Permutation Entropy and Radial Basis Function Network

DucHieu Le, Junsheng Cheng, VanTrong Thai, 2017 .

One-class classification based on the convex hull for bearing fault detection

Junsheng Cheng, Songrong Luo, Yu Yang, 2016 .