Fault Diagnosis for Vehicle Suspensions Using Modal Frequency Analysis
- José R. Piña-Alanís,
- Hugo A. Lozano-Cerda,
- Edgar A. Cavazos-Alanis,
- ,
- Universidad de Monterrey,
- ,
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
EnglishPages from-to (Number of pages)
Pages 181-188 (8 pages)Publication milestones
- Published - 2022
Publication status
Published - 2022
Volume
347Publisher
Springer Science and Business Media Deutschland GmbH, GermanyPublication series
- Publication series name: Lecture Notes in Networks and Systems
ISSN (Print): 2367-3370
ISSN (Electronic): 2367-3389
Volume: 347 LNNS
ISBN (Print)
9783030900328ISBN (Electronic)
978-3-030-90033-5Publication 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 2021Host 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
ConferenceDate
17/11/2021 - 19/11/2021Location
Virtual, Online
