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Dongxiang Jiang
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2020 – today
- 2024
- [j14]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: 111838 (2024) - [j13]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: 112114 (2024) - [j12]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: 110037 (2024) - [j11]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) - [i3]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 abs/2406.07572 (2024) - 2022
- [j10]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: 22-33 (2022) - [j9]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: 107593 (2022) - [c7]Shuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, Anlong Ming:
Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks. IJCAI 2022: 942-948 - [i2]Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee:
Asynchronous Training Schemes in Distributed Learning with Time Delay. CoRR abs/2208.13154 (2022) - 2021
- [j8]Te Han
, Chao Liu, Rui Wu
, Dongxiang Jiang:
Deep transfer learning with limited data for machinery fault diagnosis. Appl. Soft Comput. 103: 107150 (2021)
2010 – 2019
- 2019
- [j7]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: 474-487 (2019) - 2018
- [j6]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): 2681-2693 (2018) - [i1]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 abs/1804.07265 (2018) - 2017
- [j5]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: 8092691:1-8092691:15 (2017) - [j4]Te Han
, Dongxiang Jiang, Xiaochen Zhang, Yankui Sun:
Intelligent Diagnosis Method for Rotating Machinery Using Dictionary Learning and Singular Value Decomposition. Sensors 17(4): 689 (2017) - 2014
- [j3]Chao Liu, Dongxiang Jiang, Wenguang Yang:
Global geometric similarity scheme for feature selection in fault diagnosis. Expert Syst. Appl. 41(8): 3585-3595 (2014) - 2011
- [j2]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): 11280-11285 (2011) - [j1]Dongxiang Jiang, Chao Liu:
Machine Condition Classification Using Deterioration Feature Extraction and Anomaly Determination. IEEE Trans. Reliab. 60(1): 41-48 (2011)
2000 – 2009
- 2009
- [c6]Chao Liu, Dongxiang Jiang, Minghao Zhao:
Application of RBF and Elman Neural Networks on Condition Prediction in CBM. ISNN (4) 2009: 847-855 - 2008
- [c5]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: 52-57 - [c4]Qian Huang, Dongxiang Jiang, Liangyou Hong, Yongshan Ding:
Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine Gearbox. ISNN (2) 2008: 313-320 - 2007
- [c3]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: 143-148 - 2006
- [c2]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: 414-419 - 2005
- [c1]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: 561-566
Coauthor Index
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last updated on 2024-08-15 23:46 CEST by the dblp team
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