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2020 – today
- 2023
[j7]Chun-Yao Lee
, Truong-An Le, Chun-Lin Hung:
A Feature Selection Approach Based on Memory Space Computation Genetic Algorithm Applied in Bearing Fault Diagnosis Model. IEEE Access 11: 51282-51295 (2023)- 2022
- [j6]Chun-Yao Lee, Truong-An Le, Yu-Ting Lin:
A Feature Selection Approach Hybrid Grey Wolf and Heap-Based Optimizer Applied in Bearing Fault Diagnosis. IEEE Access 10: 56691-56705 (2022) - [j5]Chun-Yao Lee, Chen-Hsu Hung, Truong-An Le:
Intelligent Fault Diagnosis for BLDC With Incorporating Accuracy and False Negative Rate in Feature Selection Optimization. IEEE Access 10: 69939-69949 (2022) - [j4]Chun-Yao Lee, Guang-Lin Zhuo, Truong-An Le:
A Robust Deep Neural Network for Rolling Element Fault Diagnosis under Various Operating and Noisy Conditions. Sensors 22(13): 4705 (2022) - [c1]Truong-An Le:
Optimized Approach of Feature Selection Based on Binary Genetic Algorithm in Classification of Induction Motor Faults. RICE 2022: 145-150 - 2021
- [j3]Chun-Yao Lee, Truong-An Le:
Identifying Faults of Rolling Element Based on Persistence Spectrum and Convolutional Neural Network With ResNet Structure. IEEE Access 9: 78241-78252 (2021) - [j2]Chun-Yao Lee, Truong-An Le:
An Enhanced Binary Particle Swarm Optimization for Optimal Feature Selection in Bearing Fault Diagnosis of Electrical Machines. IEEE Access 9: 102671-102686 (2021) - 2020
- [j1]Chun-Yao Lee, Truong-An Le:
Intelligence Bearing Fault Diagnosis Model Using Multiple Feature Extraction and Binary Particle Swarm Optimization With Extended Memory. IEEE Access 8: 198343-198356 (2020)
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