Fault Detection of High-Speed Train Traction System Based on Probability-Related Slow Feature Analysis

As the core subsystem of high-speed trains, the reliable operation of the traction system is critical to ensuring train safety. To enhance fault detection performance, this study proposes a probability-related slow feature analysis (PRSFA) method that leverages the intrinsic characteristics of the t...

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Autors principals:	Ruiting Zhang, Soon-Hyung Lee, Kyung-Min Lee, Yong-Sung Choi
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-11-01
Col·lecció:	Energies
Matèries:	slow feature analysis Kullback–Leibler Divergence fault detection traction system
Accés en línia:	https://www.mdpi.com/1996-1073/18/22/6073
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