Fault Detection for Automotive Shock Absorber

Fault detection for automotive semi-active shock absorbers is a challenge due to the non-linear dynamics and the strong influence of the disturbances such as the road profile. First obstacle for this task, is the modeling of the fault, which has been shown to be of multiplicative nature. Many of t...

Descripción completa

Detalles Bibliográficos
Autores principales: Hernandez Alcantara, Diana, Morales Menendez, Ruben, Amézquita Brooks, Luis Antonio
Formato: Artículo
Lenguaje:inglés
Publicado: 2015
Acceso en línea:http://eprints.uanl.mx/14937/1/107.pdf
_version_ 1824414196034437120
author Hernandez Alcantara, Diana
Morales Menendez, Ruben
Amézquita Brooks, Luis Antonio
author_facet Hernandez Alcantara, Diana
Morales Menendez, Ruben
Amézquita Brooks, Luis Antonio
author_sort Hernandez Alcantara, Diana
collection Repositorio Institucional
description Fault detection for automotive semi-active shock absorbers is a challenge due to the non-linear dynamics and the strong influence of the disturbances such as the road profile. First obstacle for this task, is the modeling of the fault, which has been shown to be of multiplicative nature. Many of the most widespread fault detection schemes consider additive faults. Two model-based fault algorithms for semiactive shock absorber are compared: an observer-based approach and a parameter identification approach. The performance of these schemes is validated and compared using a commercial vehicle model that was experimentally validated. Early results shows that a parameter identification approach is more accurate, whereas an observer-based approach is less sensible to parametric uncertainty.
format Article
id eprints-14937
institution UANL
language English
publishDate 2015
record_format eprints
spelling eprints-149372019-07-04T15:17:36Z http://eprints.uanl.mx/14937/ Fault Detection for Automotive Shock Absorber Hernandez Alcantara, Diana Morales Menendez, Ruben Amézquita Brooks, Luis Antonio Fault detection for automotive semi-active shock absorbers is a challenge due to the non-linear dynamics and the strong influence of the disturbances such as the road profile. First obstacle for this task, is the modeling of the fault, which has been shown to be of multiplicative nature. Many of the most widespread fault detection schemes consider additive faults. Two model-based fault algorithms for semiactive shock absorber are compared: an observer-based approach and a parameter identification approach. The performance of these schemes is validated and compared using a commercial vehicle model that was experimentally validated. Early results shows that a parameter identification approach is more accurate, whereas an observer-based approach is less sensible to parametric uncertainty. 2015 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/14937/1/107.pdf http://eprints.uanl.mx/14937/1.haspreviewThumbnailVersion/107.pdf Hernandez Alcantara, Diana y Morales Menendez, Ruben y Amézquita Brooks, Luis Antonio (2015) Fault Detection for Automotive Shock Absorber. Journal of Physics: Conference Series, 659. 012037. ISSN 1742-6588 http://doi.org/10.1088/1742-6596/659/1/012037 doi:10.1088/1742-6596/659/1/012037
spellingShingle Hernandez Alcantara, Diana
Morales Menendez, Ruben
Amézquita Brooks, Luis Antonio
Fault Detection for Automotive Shock Absorber
thumbnail https://rediab.uanl.mx/themes/sandal5/images/online.png
title Fault Detection for Automotive Shock Absorber
title_full Fault Detection for Automotive Shock Absorber
title_fullStr Fault Detection for Automotive Shock Absorber
title_full_unstemmed Fault Detection for Automotive Shock Absorber
title_short Fault Detection for Automotive Shock Absorber
title_sort fault detection for automotive shock absorber
url http://eprints.uanl.mx/14937/1/107.pdf
work_keys_str_mv AT hernandezalcantaradiana faultdetectionforautomotiveshockabsorber
AT moralesmenendezruben faultdetectionforautomotiveshockabsorber
AT amezquitabrooksluisantonio faultdetectionforautomotiveshockabsorber