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ORCIDChongdang Liu
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- affiliation: Tsinghua University, Beijing, China
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Journal Articles
- 2024
[j6]Chongdang Liu, Linxuan Zhang
, Yimeng Zheng, Zhengyi Jiang, Jinghao Zheng, Cheng Wu:
Online industrial fault prognosis in dynamic environments via task-free continual learning. Neurocomputing 598: 127930 (2024)- 2022
- [j5]Yi Zhang, Peng Peng, Chongdang Liu, Yanyan Xu, Heming Zhang:
A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing. J. Intell. Manuf. 33(4): 1057-1072 (2022) - 2021
- [j4]Chongdang Liu, Linxuan Zhang, Rong Yao, Cheng Wu:
Dual Attention-Based Temporal Convolutional Network for Fault Prognosis Under Time-Varying Operating Conditions. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - 2020
- [j3]Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu:
Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism. Neurocomputing 417: 239-254 (2020) - 2019
- [j2]Chongdang Liu, Linxuan Zhang, Yuan Liao, Cheng Wu, Gongzhuang Peng:
Multiple Sensors Based Prognostics With Prediction Interval Optimization via Echo State Gaussian Process. IEEE Access 7: 112397-112409 (2019) - 2018
- [j1]Chuyuan Wang, Linxuan Zhang, Chongdang Liu:
Adaptive scheduling method for dynamic robotic cell based on pattern classification algorithm. Int. J. Model. Simul. Sci. Comput. 9(5): 1850040:1-1850040:18 (2018)
Conference and Workshop Papers
- 2022
- [c10]Zhengyi Jiang, Chongdang Liu, Linxuan Zhang:
Deep Feature Learning Based Fault Detection with High-Frequency Signals. ICPHM 2022: 101-107 - 2019
- [c9]Chongdang Liu, Rong Yao, Linxuan Zhang, Yuan Liao:
Attention Based Echo State Network: A Novel Approach for Fault Prognosis. ICMLC 2019: 489-493 - [c8]Rong Yao, Chongdang Liu, Linxuan Zhang, Peng Peng:
Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction. ICPHM 2019: 1-7 - [c7]Yi Zhang, Peng Peng, Chongdang Liu, Heming Zhang:
Anomaly Detection for Industry Product Quality Inspection based on Gaussian Restricted Boltzmann Machine. SMC 2019: 1-6 - [c6]Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu:
Prognostics for Rotating Machinery Using Variational Mode Decomposition and Long Short-Term Memory Network. SMC 2019: 7-12 - [c5]Jiahe Niu, Chongdang Liu, Linxuan Zhang, Yuan Liao:
Remaining Useful Life Prediction of Machining Tools by 1D-CNN LSTM Network. SSCI 2019: 1056-1063 - [c4]Chongdang Liu, Linxuan Zhang, Cheng Wu:
Direct Remaining Useful Life Prediction for Rolling Bearing Using Temporal Convolutional Networks. SSCI 2019: 2965-2971 - 2018
- [c3]Yuan Liao, Linxuan Zhang, Chongdang Liu:
Uncertainty Prediction of Remaining Useful Life Using Long Short-Term Memory Network Based on Bootstrap Method. ICPHM 2018: 1-8 - [c2]Shu Luo, Chongdang Liu, Linxuan Zhang, Yushun Fan:
An Improved Nondominated Sorting Genetic Algorithm-II for Multi-objective Flexible Job-shop Scheduling Problem. SSCI 2018: 569-577 - 2017
- [c1]Chuyuan Wang, Chongdang Liu, Linxuan Zhang, Heqing Sun, Liwei Qi:
Optimized scheduling in reentrant robotic cell with dual-gripper robot and parallel lines. ROBIO 2017: 2117-2122
Coauthor Index
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