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A state detection method for metro track irregularity based on hybrid deep learning model

Year: 2026

Type: article

Source: Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science

DOI: 10.1177/09544062261428247

Authors: Haimeng Sun, Deqiang He, Jinxin Wu, Zefeng Wen, Junjie Shen, Zhenpeng Lao

Institutions: Guangxi University, Guangxi Key Lab of Manufacturing System and Advanced Manufacturing Technology, Southwest Jiaotong University

Language: English

Topic: Railway Engineering and Dynamics

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G2077924528

OpenAlex ID: W7140129972

FWCI:

Cites: 39

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