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Sensors 2018, 18(3), 793; https://doi.org/10.3390/s18030793

EMD-Based Methodology for the Identification of a High-Speed Train Running in a Gear Operating State

MAQLAB Research Group, Department of Mechanical Engineering, Universidad Carlos III de Madrid, Av. de la Universidad, 30, 28911 Leganes (Madrid), Spain
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Received: 1 February 2018 / Revised: 1 March 2018 / Accepted: 4 March 2018 / Published: 6 March 2018
(This article belongs to the Special Issue Sensors for MEMS and Microsystems)
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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. View Full-Text
Keywords: maintenance; high-speed train; vibratory analysis; empirical mode decomposition; EMD; time evolution of spectral power; condition monitoring maintenance; high-speed train; vibratory analysis; empirical mode decomposition; EMD; time evolution of spectral power; condition monitoring
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Bustos, A.; Rubio, H.; Castejón, C.; García-Prada, J.C. EMD-Based Methodology for the Identification of a High-Speed Train Running in a Gear Operating State. Sensors 2018, 18, 793.

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