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Junsheng Cheng
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2020 – today
- 2024
- [j36]Feng Liu, Junsheng Cheng, Niaoqing Hu, Zhe Cheng, Yu Yang:
A novel empirical random feature decomposition method and its application to gear fault diagnosis. Adv. Eng. Informatics 60: 102394 (2024) - [j35]Xianbin Zheng
, Yu Yang
Quasi-Periodic Component Decomposition: New Decomposition Theory for Gear Fault Diagnosis. IEEE Trans. Instrum. Meas. 73: 1-7 (2024) - 2023
- [j34]Yanfei Liu, Junsheng Cheng
Roller Bearing Fault Diagnosis Based on Partial Reconstruction Symplectic Geometry Mode Decomposition and LightGBM. IEEE Access 11: 129060-129076 (2023) - [j33]Hongkang Wu
Multivariate complex modulation model decomposition and its application to gear fault diagnosis. Digit. Signal Process. 135: 103940 (2023) - [j32]Zuanyu Zhu, Junsheng Cheng, Ping Wang, Jian Wang, Xin Kang, Yu Yang:
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. 231: 109037 (2023) - [j31]Yanfei Liu, Junsheng Cheng, Yu Yang, Guangfu Bin, Yiping Shen, Yanfeng Peng:
The Partial Reconstruction Symplectic Geometry Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis. Sensors 23(17): 7335 (2023) - 2022
- [j30]Xin Li
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix. Adv. Eng. Informatics 51: 101513 (2022) - [j29]Zuanyu Zhu, Yu Yang, Niaoqing Hu, Zhe Cheng, Junsheng Cheng:
Sparse random projection-based hyperdisk classifier for bevel gearbox fault diagnosis. Adv. Eng. Informatics 53: 101713 (2022) - [j28]Jie Zhou, Junsheng Cheng, Xiaowei Wu, Jian Wang, Yu Yang:
Adaptive quaternion multivariate local characteristic-scale decomposition and its application to gear fault diagnosis. Digit. Signal Process. 129: 103655 (2022) - [j27]Lei Wei, Zhe Cheng
A Fault Detection Method Based on an Oil Temperature Forecasting Model Using an Improved Deep Deterministic Policy Gradient Algorithm in the Helicopter Gearbox. Entropy 24(10): 1394 (2022) - [j26]Xin Li
High-accuracy gearbox health state recognition based on graph sparse random vector functional link network. Reliab. Eng. Syst. Saf. 218(Part): 108187 (2022) - [j25]Zhiyi He
Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine. IEEE Trans. Ind. Electron. 69(1): 845-855 (2022) - [j24]Jian Cheng
Ramanujan Fourier Mode Decomposition and Its Application in Gear Fault Diagnosis. IEEE Trans. Ind. Informatics 18(9): 6079-6088 (2022) - 2021
- [j23]Xin Li
Discriminative manifold random vector functional link neural network for rolling bearing fault diagnosis. Knowl. Based Syst. 211: 106507 (2021) - 2020
- [j22]Zhiyi He
An intelligent fault diagnosis method for rotor-bearing system using small labeled infrared thermal images and enhanced CNN transferred from CAE. Adv. Eng. Informatics 46: 101150 (2020) - [j21]Haiyang Pan, Yu Yang
Symplectic incremental matrix machine and its application in roller bearing condition monitoring. Appl. Soft Comput. 95: 106566 (2020) - [j20]Haiyang Pan, Yu Yang
Symplectic interactive support matrix machine and its application in roller bearing condition monitoring. Neurocomputing 398: 1-10 (2020) - [j19]Haidong Shao
Enhanced deep gated recurrent unit and complex wavelet packet energy moment entropy for early fault prognosis of bearing. Knowl. Based Syst. 188 (2020) - [j18]Zhiyi He
Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples. Knowl. Based Syst. 191: 105313 (2020) - [j17]Tianzhen Hu, Junsheng Cheng, Ping Wang, Jian Wang, Yu Yang
Extensible and displaceable hyperdisk based classifier for gear fault intelligent diagnosis. Knowl. Based Syst. 204: 106250 (2020)
2010 – 2019
- 2019
- [j16]Wenyi Huang
Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning. IEEE Access 7: 17834-17846 (2019) - [j15]Zhiyi He
Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples. IEEE Access 7: 115368-115377 (2019) - [j14]Xin Li
A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis. Comput. Ind. 110: 36-47 (2019) - [j13]Wenyi Huang, Junsheng Cheng, Yu Yang
An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis. Neurocomputing 359: 77-92 (2019) - [j12]Zhiyi He
Linear maximum margin tensor classification based on flexible convex hulls for fault diagnosis of rolling bearings. Knowl. Based Syst. 173: 62-73 (2019) - 2017
- [j11]Songrong Luo, Junsheng Cheng:
VPMCD based novelty detection method on and its application to fault identification for local characteristic-scale decomposition. Clust. Comput. 20(4): 2955-2965 (2017) - [j10]Jinde Zheng, Haiyang Pan, Shubao Yang, Junsheng Cheng:
Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis. Signal Process. 130: 305-314 (2017) - 2016
- [j9]Ming Zeng, Yu Yang
A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine. Knowl. Based Syst. 109: 17-24 (2016) - 2015
- [j8]Ming Zeng, Yu Yang
Maximum margin classification based on flexible convex hulls. Neurocomputing 149: 957-965 (2015) - [j7]HungLinh Ao
Roller Bearing Fault Diagnosis Method Based on Chemical Reaction Optimization and Support Vector Machine. J. Comput. Civ. Eng. 29(5) (2015) - [j6]Ming Zeng, Yu Yang
A generalized Gilbert algorithm and an improved MIES for one-class support vector machine. Knowl. Based Syst. 90: 211-223 (2015) - 2014
- [j5]Jinde Zheng
Partly ensemble empirical mode decomposition: An improved noise-assisted method for eliminating mode mixing. Signal Process. 96: 362-374 (2014) - [j4]Xinning Hu, Qiuliang Wang
Torque Compensation System Design for a Spherical Superconducting Rotor. IEEE Trans. Instrum. Meas. 63(12): 2789-2794 (2014) - 2012
- [j3]Junsheng Cheng, Yi Yang, Yu Yang
A rotating machinery fault diagnosis method based on local mean decomposition. Digit. Signal Process. 22(2): 356-366 (2012)
2000 – 2009
- 2009
- [j2]Junsheng Cheng, Yu Yang
Application of the improved generalized demodulation time-frequency analysis method to multi-component signal decomposition. Signal Process. 89(6): 1205-1215 (2009) - 2008
- [j1]Junsheng Cheng, Dejie Yu, Yu Yang
A Fault Diagnosis Approach for Gears Based on IMF AR Model and SVM. EURASIP J. Adv. Signal Process. 2008 (2008) - 2005
- [c1]Bing Liu, Minqing Hu, Junsheng Cheng:
Opinion observer: analyzing and comparing opinions on the Web. WWW 2005: 342-351
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