Chongdang Liu

Orcid: 0000-0001-5728-4890

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Chongdang Liu authored at least 15 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2022
A sequential resampling approach for imbalanced batch process fault detection in semiconductor manufacturing.
J. Intell. Manuf., 2022

Deep Feature Learning Based Fault Detection with High-Frequency Signals.
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.
IEEE Trans. Instrum. Meas., 2021

2020
Intelligent prognostics of machining tools based on adaptive variational mode decomposition and deep learning method with attention mechanism.
Neurocomputing, 2020

2019
Multiple Sensors Based Prognostics With Prediction Interval Optimization via Echo State Gaussian Process.
IEEE Access, 2019

Remaining Useful Life Prediction of Machining Tools by 1D-CNN LSTM Network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Direct Remaining Useful Life Prediction for Rolling Bearing Using Temporal Convolutional Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Anomaly Detection for Industry Product Quality Inspection based on Gaussian Restricted Boltzmann Machine.
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.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Unsupervised Anomaly Detection Using Variational Auto-Encoder based Feature Extraction.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Attention Based Echo State Network: A Novel Approach for Fault Prognosis.
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.
Int. J. Model. Simul. Sci. Comput., 2018

An Improved Nondominated Sorting Genetic Algorithm-II for Multi-objective Flexible Job-shop Scheduling Problem.
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.
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.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017


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