Yongqi Chang

According to our database, Yongqi Chang authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

A multi-source domain feature-decision dual fusion adversarial transfer network for cross-domain anti-noise mechanical fault diagnosis in sustainable city.

Changdong Wang, Huamin Jie, Jingli Yang, Tianyu Gao, Zhenyu Zhao, Yongqi Chang, Kye Yak See

Inf. Fusion, 2025

2024

EMAE-Based Rail Structural Health Monitoring Using Double-Layer Signal Processing and Spectrum Information Entropy.

Yongqi Chang, Xin Zhang, Shuzhi Song, Qinghua Song, Zhenyu Zhao, Wensong Wang, Huamin Jie, Yi Shen

IEEE Trans. Intell. Transp. Syst., September, 2024

Rail Crack Detection Using Optimal Local Mean Decomposition and Cepstral Information Coefficient Based on Electromagnetic Acoustic Emission Technology.

Yongqi Chang, Xin Zhang, Yi Shen, Shuzhi Song, Qinghua Song, Jiazhong Cui, Huamin Jie, Zhenyu Zhao

IEEE Trans. Instrum. Meas., 2024

Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise.

Changdong Wang, Bowen Tian, Jingli Yang, Huamin Jie, Yongqi Chang, Zhenyu Zhao

Reliab. Eng. Syst. Saf., 2024

An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain.

Changdong Wang, Jingli Yang, Huamin Jie, Bowen Tian, Zhenyu Zhao, Yongqi Chang

Adv. Eng. Informatics, 2024

2023

An Improved Structural Health Monitoring Method Utilizing Sparse Representation for Acoustic Emission Signals in Rails.

Shuzhi Song, Xin Zhang, Yongqi Chang, Yi Shen

IEEE Trans. Instrum. Meas., 2023

High Precision SoC Estimation of LiFePO4 Blade Batteries Using Improved OCV-Based PNGV Model.

Zhen Tao, Zhenyu Zhao, Fei Fan, Huamin Jie, Yongqi Chang, Kye Yak See

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Characterization and Modeling of Single-Phase Common-Mode Chokes via Finite-Element Analysis.

Huamin Jie, Zhenyu Zhao, Fei Fan, Yongqi Chang, Firman Sasongko, Amit Kumar Gupta, Kye Yak See

Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2021

An Efficient Method for Monitoring Degradation and Predicting the Remaining Useful Life of Mechanical Rotating Components.

Jingli Yang, Shuangyan Yin, Yongqi Chang, Tianyu Gao, Cheng Yang

IEEE Trans. Instrum. Meas., 2021

2020

A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks.

Jingli Yang, Shuangyan Yin, Yongqi Chang, Tianyu Gao

Sensors, 2020

A Fault Prediction Method of Quartz Flexible Accelerometers Based on AGO-RVM.

Jingli Yang, Yongqi Chang, Cheng Yang, Yang Liu

Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020