Treatment of Outliers to Study Railway Vibrations Transmission

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Nicoletta González–Cancelas https://orcid.org/0000-0001-7167-1563
Francisco Soler-Flores https://orcid.org/0000-0002-1636-834X
Alberto Camarero Orive https://orcid.org/0000-0002-0614-8714
Íñigo López Ansorena

Keywords

Data mining, outliers, railway, vibration.

Abstract

This paper presents the data analysis of the vibration induced by the propagation of waves caused by passing trains, metro and tram. These data are taken with an optical fiber accelerometer within the framework of the research project TRAVIESA (Transmisión de Vibraciones del ferrocarril urbanoal entorno: Estrategias, Tecnologías y materiales para su atenuación) fundedby CDTI and the Ministry of Science and Innovation of the Government of Spain. The methodology was developed to characterize the level of vibrations that affect different elements of railway infrastructure and nearby buildings. Optical fiber accelerometers were used and the measurements were made by the Technological Institute of Optics, Colour and Imaging (AIDO).

PACS: 89.40.-a

MSC: 62-07

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