Abstract
| Original language | English |
|---|---|
| Title of host publication | 2016 European Control Conference, ECC 2016 |
| Pages | 1898 |
| Number of pages | 1903 |
| DOIs | |
| Publication status | Published - 2017 |
| Externally published | Yes |
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Fault diagnosis for an automotive suspension using particle filters. / Alcantara, D.H.; Morales-Menendez, R.; Amezquita-Brooks, L.
2016 European Control Conference, ECC 2016. 2017. p. 1898 7810568.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Fault diagnosis for an automotive suspension using particle filters
AU - Alcantara, D.H.
AU - Morales-Menendez, R.
AU - Amezquita-Brooks, L.
PY - 2017
Y1 - 2017
N2 - To diagnose faults in automotive suspension systems a particle filters based approach was evaluated. The look-ahead Rao-Blackwell Particle Filter was tested to online monitor different oil leaks in a magneto-rheological shock absorber. The non-linear semi-active suspension was modelled through the Jump Markov Linear Gaussian framework. The feasibility of this approach has been analyzed in a simulation environment using different road profiles. Early results with high precision and low variance are promised; however, the computing time is a hard constraint for an online application.
AB - To diagnose faults in automotive suspension systems a particle filters based approach was evaluated. The look-ahead Rao-Blackwell Particle Filter was tested to online monitor different oil leaks in a magneto-rheological shock absorber. The non-linear semi-active suspension was modelled through the Jump Markov Linear Gaussian framework. The feasibility of this approach has been analyzed in a simulation environment using different road profiles. Early results with high precision and low variance are promised; however, the computing time is a hard constraint for an online application.
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85015033497&partnerID=MN8TOARS
U2 - 10.1109/ECC.2016.7810568
DO - 10.1109/ECC.2016.7810568
M3 - Conference contribution
SP - 1898
BT - 2016 European Control Conference, ECC 2016
ER -