Dongxiang Jiang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 15

Top Topics

Support Vector Machine

Rotating Machinery

Fault Diagnosis

Augmented Lagrangian

Top Venues

Knowl. Based Syst.

Appl. Soft Comput.

Publications

Yuwei Fan, Chenlong Feng, Rui Wu, Chao Liu, Dongxiang Jiang
Multiscale-attention masked autoencoder for missing data imputation of wind turbines. Knowl. Based Syst. 299 (2024)
Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
Asynchronous Training Schemes in Distributed Learning with Time Delay. Trans. Mach. Learn. Res. 2024 (2024)
Chenlong Feng, Chao Liu, Dongxiang Jiang
Root cause localization for wind turbines using physics guided multivariate graphical modeling and fault propagation analysis. Knowl. Based Syst. 295 (2024)
Rui Wu, Chao Liu, Dongxiang Jiang
Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systems. Reliab. Eng. Syst. Saf. 245 (2024)
Tao Song, Yuwei Fan, Chenlong Feng, Keyu Song, Chao Liu, Dongxiang Jiang
Domain-specific ReAct for physics-integrated iterative modeling: A case study of LLM agents for gas path analysis of gas turbines. CoRR (2024)
Zhanhong Jiang, Chao Liu, Young M. Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang
The Stochastic Augmented Lagrangian method for domain adaptation. Knowl. Based Syst. 235 (2022)
Tao Song, Chao Liu, Rui Wu, Yunfeng Jin, Dongxiang Jiang
A hierarchical scheme for remaining useful life prediction with long short-term memory networks. Neurocomputing 487 (2022)
Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee
Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR (2022)
Shuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, Anlong Ming
Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks. IJCAI (2022)
Te Han, Chao Liu, Rui Wu, Dongxiang Jiang
Deep transfer learning with limited data for machinery fault diagnosis. Appl. Soft Comput. 103 (2021)
Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults. Knowl. Based Syst. 165 (2019)
Te Han, Chao Liu, Wenguang Yang, Dongxiang Jiang
Deep Transfer Network with Joint Distribution Adaptation: A New Intelligent Fault Diagnosis Framework for Industry Application. CoRR (2018)
Te Han, Dongxiang Jiang, Qi Zhao, Lei Wang, Kai Yin
Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery. Trans. Inst. Meas. Control 40 (8) (2018)
Xiaochen Zhang, Dongxiang Jiang, Te Han, Nanfei Wang, Wenguang Yang, Yizhou Yang
Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine. J. Sensors 2017 (2017)
Te Han, Dongxiang Jiang, Xiaochen Zhang, Yankui Sun
Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition. Sensors 17 (4) (2017)
Chao Liu, Dongxiang Jiang, Wenguang Yang
Global geometric similarity scheme for feature selection in fault diagnosis. Expert Syst. Appl. 41 (8) (2014)
Dongxiang Jiang, Chao Liu
Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination. IEEE Trans. Reliab. 60 (1) (2011)
Xueli An, Dongxiang Jiang, Chao Liu, Minghao Zhao
Wind farm power prediction based on wavelet decomposition and chaotic time series. Expert Syst. Appl. 38 (9) (2011)
Chao Liu, Dongxiang Jiang, Minghao Zhao
Application of RBF and Elman Neural Networks on Condition Prediction in CBM. ISNN (4) (2009)
Yongshan Ding, Dongxiang Jiang, Liangyou Hong, Qian Huang
Study on Gas Turbine Thermodynamic Component Performance Degradation Assessment Based on RBF and SOM Neural Networks. IC-AI (2008)
Qian Huang, Dongxiang Jiang, Liangyou Hong, Yongshan Ding
Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine Gearbox. ISNN (2) (2008)
Dongxiang Jiang, Kai Xiong, Yongshan Ding, Kai Li
Comparison of Data Mining and Neural Network Methods on Aero-engine Vibration Fault Diagnosis. FSKD (4) (2007)
Kai Li, Dongxiang Jiang, Kai Xiong, Yongshan Ding
Application of RBF and SOFM Neural Networks on Vibration Fault Diagnosis for Aero-engines. ISNN (2) (2006)
Dongxiang Jiang, Kai Li, Gang Zhao, Jinhui Diao
Application of Fuzzy SOFM Neural Network and Rough Set Theory on Fault Diagnosis for Rotating Machinery. ISNN (3) (2005)