Enhancing motor impedance measurements: Broadening the spectrum from low to high frequencies

H Jie, KY See, Y Chang, RXK Gao… - Measurement Science …, 2024 - iopscience.iop.org
Three-phase induction motors serve as critical parts in various industrial applications,
lauded for their high energy efficiency and notable power density. Obtaining their broadband …

Rail crack detection using optimal local mean decomposition and cepstral information coefficient based on electromagnetic acoustic emission technology

Y Chang, X Zhang, Y Shen, S Song… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Rail crack detection is an essential role in the safety assurance of railway transportation.
However, conventional crack detection methodologies suffer from the interference of …

A multi-dictionary fusion method based on improved dynamic time war** for moveable rail damage localization

S Song, X Zhang, Y Chang, Y Chen, J Cui… - Measurement …, 2025 - iopscience.iop.org
Traditional structural health monitoring (SHM) of rails relies on a fixed single sensor, limited
by detection range and noise interference. Therefore, a multi-dictionary fusion method for …

Fault diagnosis and prognosis of railway vehicle system

B Yang, D Zhang, L Guo, Z Tian… - … Science and Technology, 2025 - iopscience.iop.org
Fault diagnosis and prognosis of railway vehicle system - IOPscience Skip to content IOP
Science homeAccessibility Help Search all IOPscience content Search Article Lookup Select …

Rail Fatigue Crack Classification Based on Improved DPC Algorithm Using Acoustic Emission Technology

Q Song, X Zhang, J Cui, Y Chang… - 2024 43rd Chinese …, 2024 - ieeexplore.ieee.org
The effective classification of crack, as a key aspect in maintaining rail safety, plays a
significant role in ensuring the reliable operation of high-speed railway. There are mainly …

A Study of Electromagnetic Acoustic Emission Technology in Non-destructive Testing

Y Chang, Y Shen, X Zhang, S Song… - … and Internet of …, 2023 - ieeexplore.ieee.org
Electromagnetic acoustic emission (EMAE), an emerging and highly promising technology,
has gained prominence for its ability to provide profound insights into material integrity …