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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |