Fault detection for automotive shock absorber

Diana Hernandez-Alcantara, Ruben Morales-Menendez, Luis Amezquita-Brooks

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

© Published under licence by IOP Publishing Ltd. 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.
Original languageEnglish
DOIs
Publication statusPublished - 19 Nov 2015
Externally publishedYes
EventJournal of Physics: Conference Series -
Duration: 19 Nov 2015 → …

Conference

ConferenceJournal of Physics: Conference Series
Period19/11/15 → …

Fingerprint

shock absorbers
parameter identification
fault detection
roads
vehicles
disturbances
profiles

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Hernandez-Alcantara, D., Morales-Menendez, R., & Amezquita-Brooks, L. (2015). Fault detection for automotive shock absorber. Paper presented at Journal of Physics: Conference Series, . https://doi.org/10.1088/1742-6596/659/1/012037
Hernandez-Alcantara, Diana ; Morales-Menendez, Ruben ; Amezquita-Brooks, Luis. / Fault detection for automotive shock absorber. Paper presented at Journal of Physics: Conference Series, .
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Hernandez-Alcantara, D, Morales-Menendez, R & Amezquita-Brooks, L 2015, 'Fault detection for automotive shock absorber', Paper presented at Journal of Physics: Conference Series, 19/11/15. https://doi.org/10.1088/1742-6596/659/1/012037

Fault detection for automotive shock absorber. / Hernandez-Alcantara, Diana; Morales-Menendez, Ruben; Amezquita-Brooks, Luis.

2015. Paper presented at Journal of Physics: Conference Series, .

Research output: Contribution to conferencePaper

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T1 - Fault detection for automotive shock absorber

AU - Hernandez-Alcantara, Diana

AU - Morales-Menendez, Ruben

AU - Amezquita-Brooks, Luis

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AB - © Published under licence by IOP Publishing Ltd. 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.

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M3 - Paper

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Hernandez-Alcantara D, Morales-Menendez R, Amezquita-Brooks L. Fault detection for automotive shock absorber. 2015. Paper presented at Journal of Physics: Conference Series, . https://doi.org/10.1088/1742-6596/659/1/012037