Railway Point-Operating Machine Fault Detection Using Unlabeled Signaling Sensor Data

In this study, we propose a methodology for the identification of potential fault occurrences of railway point-operating machines, using unlabeled signal sensor data. Data supplied by Network Rail, UK, is processed using a fast Fourier transform signal processing approach, coupled with the mean and...

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Detalles Bibliográficos
Autores principales: Mistry, Pritesh, Lane, Phil, Allen, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249197/
https://www.ncbi.nlm.nih.gov/pubmed/32397348
http://dx.doi.org/10.3390/s20092692

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7249197/
https://www.ncbi.nlm.nih.gov/pubmed/32397348
http://dx.doi.org/10.3390/s20092692

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