Neural Network and Training Strategy Design for Train Drivers’ Vibration Dose Simulation

Muñoz Guijosa, Juan Manuel and Riesco, Enrique and Olmedo, M. (2017). Neural Network and Training Strategy Design for Train Drivers’ Vibration Dose Simulation. "International Journal of Simulation Modelling", v. 16 (n. 1); pp. 72-83. ISSN 1726-4529. https://doi.org/10.2507/IJSIMM16(1)6.370.

Description

Title: Neural Network and Training Strategy Design for Train Drivers’ Vibration Dose Simulation
Author/s:
  • Muñoz Guijosa, Juan Manuel
  • Riesco, Enrique
  • Olmedo, M.
Item Type: Article
Título de Revista/Publicación: International Journal of Simulation Modelling
Date: March 2017
Volume: 16
Subjects:
Freetext Keywords: Vibration Dose, Artificial Neural Network, Nonlinear Model, Train Engineer, Tranin Driver
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Mecánica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Vibration can cause professional illnesses in train drivers, giving also rise to lawsuits to the employer. A possible cause may be the lack of systematic vibration estimation processes, due to operational complexities, subjectivities involved and the cost of dedicated tests. Estimation quality may be improved by using a driver seat model along with cabin floor vibration data acquired during the train dynamic approval tests. However, due to the nonlinearities present, analytical models frequently show inaccurate results.

More information

Item ID: 50088
DC Identifier: http://oa.upm.es/50088/
OAI Identifier: oai:oa.upm.es:50088
DOI: 10.2507/IJSIMM16(1)6.370
Official URL: http://www.ijsimm.com/Full_Papers/Fulltext2017/text16-1_72-83.pdf
Deposited by: Memoria Investigacion
Deposited on: 11 Jul 2018 14:24
Last Modified: 25 Mar 2019 11:06
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