Chongdang Liu

According to our database, Chongdang Liu authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Online industrial fault prognosis in dynamic environments via task-free continual learning.

Chongdang Liu, Linxuan Zhang, Yimeng Zheng, Zhengyi Jiang, Jinghao Zheng, Cheng Wu

Neurocomputing, 2024

2022

A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing.

Yi Zhang, Peng Peng, Chongdang Liu, Yanyan Xu, Heming Zhang

J. Intell. Manuf., 2022

Deep Feature Learning Based Fault Detection with High-Frequency Signals.

Zhengyi Jiang, Chongdang Liu, Linxuan Zhang

Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022

2021

Dual Attention-Based Temporal Convolutional Network for Fault Prognosis Under Time-Varying Operating Conditions.

Chongdang Liu, Linxuan Zhang, Rong Yao, Cheng Wu

IEEE Trans. Instrum. Meas., 2021

2020

Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism.

Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu

Neurocomputing, 2020

2019

Multiple Sensors Based Prognostics With Prediction Interval Optimization via Echo State Gaussian Process.

Chongdang Liu, Linxuan Zhang, Yuan Liao, Cheng Wu, Gongzhuang Peng

IEEE Access, 2019

Remaining Useful Life Prediction of Machining Tools by 1D-CNN LSTM Network.

Jiahe Niu, Chongdang Liu, Linxuan Zhang, Yuan Liao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Direct Remaining Useful Life Prediction for Rolling Bearing Using Temporal Convolutional Networks.

Chongdang Liu, Linxuan Zhang, Cheng Wu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Anomaly Detection for Industry Product Quality Inspection based on Gaussian Restricted Boltzmann Machine.

Yi Zhang, Peng Peng, Chongdang Liu, Heming Zhang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Prognostics for Rotating Machinery Using Variational Mode Decomposition and Long Short-Term Memory Network.

Chongdang Liu, Linxuan Zhang, Jiahe Niu, Rong Yao, Cheng Wu

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction.

Rong Yao, Chongdang Liu, Linxuan Zhang, Peng Peng

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Attention Based Echo State Network: A Novel Approach for Fault Prognosis.

Chongdang Liu, Rong Yao, Linxuan Zhang, Yuan Liao

Proceedings of the 2019 11th International Conference on Machine Learning and Computing, 2019

2018

Adaptive scheduling method for dynamic robotic cell based on pattern classification algorithm.

Chuyuan Wang, Linxuan Zhang, Chongdang Liu

Int. J. Model. Simul. Sci. Comput., 2018

An Improved Nondominated Sorting Genetic Algorithm-II for Multi-objective Flexible Job-shop Scheduling Problem.

Shu Luo, Chongdang Liu, Linxuan Zhang, Yushun Fan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Uncertainty Prediction of Remaining Useful Life Using Long Short-Term Memory Network Based on Bootstrap Method.

Yuan Liao, Linxuan Zhang, Chongdang Liu

Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

2017

Optimized scheduling in reentrant robotic cell with dual-gripper robot and parallel lines.

Chuyuan Wang, Chongdang Liu, Linxuan Zhang, Heqing Sun, Liwei Qi

Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017