Rail Steel Health Analysis Based on a Novel Genetic Density-based Clustering Technique and Manifold Representation of Acoustic Emission Signals. - Kangwei Wang; Xin Zhang 043; Shuzhi Song; Yan Wang 047; Yi Shen 001; Paul D. Wilcox (Appl. Artif. Intell., 2022)

An Improved Structural Health Monitoring Method Utilizing Sparse Representation for Acoustic Emission Signals in Rails. - Shuzhi Song; Xin Zhang 043; Yongqi Chang; Yi Shen 001 (IEEE Trans. Instrum. Meas., 2023)

Rail Crack Detection Using Optimal Local Mean Decomposition and Cepstral Information Coefficient Based on Electromagnetic Acoustic Emission Technology. - Yongqi Chang; Xin Zhang 043; Yi Shen 001; Shuzhi Song; Qinghua Song; Jiazhong Cui; Huamin Jie; Zhenyu Zhao 001 (IEEE Trans. Instrum. Meas., 2024)

EMAE-Based Rail Structural Health Monitoring Using Double-Layer Signal Processing and Spectrum Information Entropy. - Yongqi Chang; Xin Zhang 043; Shuzhi Song; Qinghua Song; Zhenyu Zhao 001; Wensong Wang; Huamin Jie; Yi Shen 001 (IEEE Trans. Intell. Transp. Syst., 2024)

A Novel Mobile Onboard Multi-Sensor Rail Damage Detection Method Based on Dictionary Enhancement Fusion With Acoustic Emission. - Shuzhi Song; Xin Zhang 043; Yi Shen 001; Yongqi Chang; Jiazhong Cui; Qinghua Song (IEEE Trans. Instrum. Meas., 2025)