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Fault Diagnosis for Vehicle Suspensions Using Modal Frequency Analysis

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Open access

Publication metrics

Metrics

SciVal
Author count
5
SciVal
Paper percentile
20

Abstract

The fault diagnosis of an automotive suspension can become ambiguous because there is no general methodology to detect suspension problems. The main purpose of this work is to introduce a numerical analysis to determinate the state of a suspension system which is meant to be developed in future works for its practical application. It is considered that the spring and damper are the elements of the suspension that deteriorate the most over time, causing greater inconvenience to the driving experience, also, it is worth mentioning that being the main components of the suspension, these are the ones that most affect the system at the time of failure. The methodology to find suspension failures presented in this paper is based on the modal analysis of the frequency response of a quarter of vehicle model. To validate the methodology, different vehicles will be used to identify a pattern in the behavior that allows to generalize the appropriate response in a vehicle. The condition of the suspension can be determined by a graphical inspection of the frequency response: As the damper is tailing, the magnitude in the resonance frequency tends to ∞ . On the other hand, as the spring fails, the resonance frequency tends to zero, independently of the damper state, allowing to isolate the fault.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Host publication Subtitle

Advances in Automation and Robotics Research. LACAR 2021.

Original language

English

Pages from-to (Number of pages)

Pages 181-188 (8 pages)

Publication milestones

  • Published - 2022

Publication status

Published - 2022

Volume

347

Publisher

Springer Science and Business Media Deutschland GmbH, Germany

Publication series

  • Publication series name: Lecture Notes in Networks and Systems
    ISSN (Print): 2367-3370
    ISSN (Electronic): 2367-3389
    Volume: 347 LNNS
9783030900328

ISBN (Electronic)

978-3-030-90033-5

Publication IDs

  • Scopus: 85121585646
  • Scopus: 85121585646

Host publication title

Advances in Automation and Robotics Research - Proceedings of the 3rd Latin American Congress on Automation and Robotics, LACAR 2021

Host publication editors

  • Héctor A. Moreno
  • Isela G. Carrera
  • Ricardo A. Ramírez-Mendoza
  • José Baca
  • Ilka A. Banfield

Related Event

Title

3rd Latin American Congress on Automation and Robotics, LACAR 2021

Event type

Conference

Date

17/11/2021 - 19/11/2021

Location

Virtual, Online