@article{ref1,
title="EMD-based methodology for the identification of a high-speed train running in a gear operating state",
journal="Sensors (Basel)",
year="2018",
author="Bustos, Alejandro and Rubio, Higinio and Castejón, Cristina and García-Prada, Juan Carlos",
volume="18",
number="3",
pages="s18030793-s18030793",
abstract="An efficient maintenance is a key consideration in systems of railway transport, especially in high-speed trains, in order to avoid accidents with catastrophic consequences. In this sense, having a method that allows for the early detection of defects in critical elements, such as the bogie mechanical components, is a crucial for increasing the availability of rolling stock and reducing maintenance costs. The main contribution of this work is the proposal of a methodology that, based on classical signal processing techniques, provides a set of parameters for the fast identification of the operating state of a critical mechanical system. With this methodology, the vibratory behaviour of a very complex mechanical system is characterised, through variable inputs, which will allow for the detection of possible changes in the mechanical elements. This methodology is applied to a real high-speed train in commercial service, with the aim of studying the vibratory behaviour of the train (specifically, the bogie) before and after a maintenance operation. The results obtained with this methodology demonstrated the usefulness of the new procedure and allowed for the disclosure of reductions between 15% and 45% in the spectral power of selected Intrinsic Mode Functions (IMFs) after the maintenance operation.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s18030793",
url="http://dx.doi.org/10.3390/s18030793"
}