Work

Estimating the occurrence of broken rails in commuter railroads with machine learning algorithms

Year: 2024

Type: article

Source: Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit

DOI: 10.1177/09544097241280848

Authors: Di Kang, Junyan Dai, Xiang Liu, Zheyong Bian, Asim Zaman, Xin Wang

Institutions: Rutgers, The State University of New Jersey, University of Houston

Language: English

Topic: Railway Engineering and Dynamics

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Good health and well-being

Open Access status: closed

Funder: Federal Railroad Administration

Award: G8612323004

OpenAlex ID: W4402221726

FWCI: 0.271

Cites: 28

Cited by: 2

Related to: 10