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

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.

• Record URL:
  • https://doi.org/10.3390/s18030793
• Record URL:
  • http://www.mdpi.com/1424-8220/18/3/793
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
• Supplemental Notes:
  • © 2018 Alejandro Bustos et al.
• Authors:
  • Bustos, Alejandro
  • 0000-0001-7513-6058
  • Rubio, Higinio
  • 0000-0001-6122-3011
  • Castejón, Cristina
  • 0000-0002-5823-7372
  • García-Prada, Juan
• Publication Date: 2018-3

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References;
• Pagination: 17p
• Serial:
  • Sensors
  • Volume: 18
  • Issue Number: 3
  • Publisher: MDPI AG
  • ISSN: 1424-8220
  • Serial URL: http://www.mdpi.com/journal/sensors
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: High speed rail; Identification systems; Maintenance; Vibration
• Subject Areas: Maintenance and Preservation; Railroads;

Filing Info

• Accession Number: 01670229
• Record Type: Publication
• Files: TRIS
• Created Date: May 24 2018 5:21PM