Shaojiang Dong

发表

A repeated single-channel mechanical signal blind separation method based on morphological filtering and singular value decomposition

B. Tang, Shaojiang Dong, Yan Zhang, 2012 .

Bearing running state recognition based on non-extensive wavelet feature scale entropy and support vector machine

B. Tang, Renxiang Chen, Shaojiang Dong, 2013 .

A numerical study of the contact and vibration characteristics of a roller bearing with a surface crack

Jing Liu, Shaojiang Dong, Zhifeng Shi, 2020 .

Rotating Machine Fault Diagnosis Based on Locality Preserving Projection and Back Propagation Neural Network–Support Vector Machine Model

Shaojiang Dong, Juan Liu, Xiangyang Xu, 2015 .

A simulation-data-driven subdomain adaptation adversarial transfer learning network for rolling element bearing fault diagnosis

Shaojiang Dong, Xiaolin Hu, peng Zhu, 2022, Measurement Science and Technology.

Bearing remain life prediction based on weighted complex SVM models

Shaojiang Dong, Jinlu Sheng, Zhu Liu, 2016 .

Bearing Degradation Process Prediction Based on the Support Vector Machine and Markov Model

Shaojiang Dong, Baoping Tang, Luo Tianhong, 2014 .

Bearing degradation process prediction based on the PCA and optimized LS-SVM model

Shaojiang Dong, Tianhong Luo, Shaojiang Dong, 2013 .

Method for eliminating mode mixing of empirical mode decomposition based on the revised blind source separation

Shaojiang Dong, Tao Song, Baoping Tang, 2012, Signal Process..

Magnetic circuit design and optimisation of magnetorheological mount with tapered channel under the flow mode

Shaojiang Dong, Hanbing Wei, Qiang Cai, 2021, Journal of Intelligent Material Systems and Structures.

Bearing faults recognition based on the local mode decomposition morphological spectrum and optimized support vector machine

Jun Wang, Shaojiang Dong, Juan Liu, 2016, 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

Analysis of the growth conditions of icicles during insulator icing

Xingbo Han, Renxiang Chen, Shaojiang Dong, 2021 .

Bearing fault diagnosis based on intrinsic time-scale decomposition and improved Support vector machine model

Shaojiang Dong, Jinlu Sheng, Zhu Liu, 2016, Journal of Vibroengineering.

Application of fuzzy C-means method and classification model of optimized K-nearest neighbor for fault diagnosis of bearing

Shaojiang Dong, Xiangyang Xu, Renxiang Chen, 2016 .

Rolling bearing performance degradation assessment based on improved convolutional neural network with anti-interference

Shaojiang Dong, Kun He, Wenliang Wu, 2020 .

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis

Shaojiang Dong, Michael Pecht, Shisheng Zhong, 2021, IEEE Transactions on Industrial Electronics.

Fault diagnosis of bearing based on the kernel principal component analysis and optimized k-nearest neighbour model

Lili Chen, Shaojiang Dong, Li Zhong, 2017 .

Bearing Running State Recognition Method Based on Feature-to-Noise Energy Ratio and Improved Deep Residual Shrinkage Network

B. Tang, Shaojiang Dong, Xuejiao Pan, 2022, IEEE/ASME Transactions on Mechatronics.

Application of fuzzy C-means method and classification model of optimized K-nearest neighbor for fault diagnosis of bearing

Renxiang Chen, Shaojiang Dong, Xiangyang Xu, 2015, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

The fault diagnosis method of rolling bearing under variable working conditions based on deep transfer learning

Shaojiang Dong, Baoping Tang, Kun He, 2020, Journal of the Brazilian Society of Mechanical Sciences and Engineering.

Fault feature extraction method based on local mean decomposition Shannon entropy and improved kernel principal component analysis model

Shaojiang Dong, Jinlu Sheng, Hao Gao, 2016 .

Bearing degradation state recognition based on kernel PCA and wavelet kernel SVM

Shaojiang Dong, Dihua Sun, Baoping Tang, 2015 .

A Fault Diagnosis Method for Rotating Machinery Based on PCA and Morlet Kernel SVM

Shaojiang Dong, Baoping Tang, Wentao Yu, 2014 .

Single-channel bearing vibration signal blind source separation method based on morphological filter and optimal matching pursuit (MP) algorithm

Shaojiang Dong, Junfeng Liu, Xing Liu, 2015 .

The Rotating Components Performance Diagnosis of Gas Turbine Based on the Hybrid Filter

Shaojiang Dong, Wei Long, Li Zeng, 2019, Processes.

A fault diagnosis model based on singular value manifold features, optimized SVMs and multi-sensor information fusion

Fuli Wang, Shaojiang Dong, Hong Xiao, 2020, Measurement Science and Technology.