Fault detection for automotive shock absorber

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

Research output: Contribution to conferencePaper

2 Citations (Scopus)


© 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
Publication statusPublished - 19 Nov 2015
Externally publishedYes
EventJournal of Physics: Conference Series -
Duration: 19 Nov 2015 → …


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

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

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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, . https://doi.org/10.1088/1742-6596/659/1/012037