A Fault Detection Approach for Robotic Systems Combining the Data Obtained from Sensor Measurements and Linear Observer-Based Estimations

Rabih Taleb 1 Rabah Mazouzi 1 Lynda Seddiki 1 Cyril de Runz 2 Kevin Guelton 2 Herman Akdag 1
1 LIASD - Laboratoire d'Informatique Avancée de Saint-Denis
2 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804
Document type :
Book sections
Complete list of metadatas
https://hal.univ-reims.fr/hal-01736743
Contributor : Kevin Guelton <>
Submitted on : Sunday, March 18, 2018 - 2:50:42 PM
Last modification on : Wednesday, November 20, 2019 - 2:09:36 AM

Identifiers

  • HAL Id : hal-01736743, version 1

Collections

URCA | CRESTIC | INSMI | LIASD | TDS-MACS | UNIV-PARIS8 | UNIV-PARIS-LUMIERES

Citation

Rabih Taleb, Rabah Mazouzi, Lynda Seddiki, Cyril de Runz, Kevin Guelton, et al.. A Fault Detection Approach for Robotic Systems Combining the Data Obtained from Sensor Measurements and Linear Observer-Based Estimations. Advances in Knowledge Discovery and Management. Studies in Computational Intelligence, 2018. ⟨hal-01736743⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

115

 

HAL-contact@univ-reims.fr