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Yongqi Chang
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2020 – today
- 2025
- [j8]Changdong Wang, Huamin Jie, Jingli Yang, Tianyu Gao, Zhenyu Zhao, Yongqi Chang, Kye Yak See:
A multi-source domain feature-decision dual fusion adversarial transfer network for cross-domain anti-noise mechanical fault diagnosis in sustainable city. Inf. Fusion 115: 102739 (2025) - 2024
- [j7]Changdong Wang, Jingli Yang, Huamin Jie, Bowen Tian, Zhenyu Zhao, Yongqi Chang:
An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain. Adv. Eng. Informatics 62: 102682 (2024) - [j6]Changdong Wang, Bowen Tian, Jingli Yang, Huamin Jie, Yongqi Chang, Zhenyu Zhao:
Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise. Reliab. Eng. Syst. Saf. 251: 110409 (2024) - [j5]Yongqi Chang, Xin Zhang, Yi Shen, Shuzhi Song, Qinghua Song, Jiazhong Cui, Huamin Jie, Zhenyu Zhao:
Rail Crack Detection Using Optimal Local Mean Decomposition and Cepstral Information Coefficient Based on Electromagnetic Acoustic Emission Technology. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j4]Yongqi Chang, Xin Zhang, Shuzhi Song, Qinghua Song, Zhenyu Zhao, Wensong Wang, Huamin Jie, Yi Shen:
EMAE-Based Rail Structural Health Monitoring Using Double-Layer Signal Processing and Spectrum Information Entropy. IEEE Trans. Intell. Transp. Syst. 25(9): 11370-11381 (2024) - 2023
- [j3]Shuzhi Song, Xin Zhang, Yongqi Chang, Yi Shen:
An Improved Structural Health Monitoring Method Utilizing Sparse Representation for Acoustic Emission Signals in Rails. IEEE Trans. Instrum. Meas. 72: 1-11 (2023) - [c3]Huamin Jie, Zhenyu Zhao, Fei Fan, Yongqi Chang, Firman Sasongko, Amit Kumar Gupta, Kye Yak See:
Characterization and Modeling of Single-Phase Common-Mode Chokes via Finite-Element Analysis. IECON 2023: 1-6 - [c2]Zhen Tao, Zhenyu Zhao, Fei Fan, Huamin Jie, Yongqi Chang, Kye Yak See:
High Precision SoC Estimation of LiFePO4 Blade Batteries Using Improved OCV-Based PNGV Model. IECON 2023: 1-6 - 2021
- [j2]Jingli Yang, Shuangyan Yin, Yongqi Chang, Tianyu Gao, Cheng Yang:
An Efficient Method for Monitoring Degradation and Predicting the Remaining Useful Life of Mechanical Rotating Components. IEEE Trans. Instrum. Meas. 70: 1-14 (2021) - 2020
- [j1]Jingli Yang, Shuangyan Yin, Yongqi Chang, Tianyu Gao:
A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks. Sensors 20(14): 3837 (2020) - [c1]Jingli Yang, Yongqi Chang, Cheng Yang, Yang Liu:
A Fault Prediction Method of Quartz Flexible Accelerometers Based on AGO-RVM. I2MTC 2020: 1-6
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