A fault detection approach for robotic systems combining the data obtained from sensor measurements and linear observer-based estimations

Rabih Taleb; Rabah Mazouzi; Lynda Seddiki; Cyril de Runz; Kevin Guelton; Herman Akdag

Book Sections Advances in Knowledge Discovery and Management Year : 2017

A fault detection approach for robotic systems combining the data obtained from sensor measurements and linear observer-based estimations

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1

Rabih Taleb

Function : Author

Laboratoire d'Informatique Avancée de Saint-Denis

Rabah Mazouzi

Function : Author

Lynda Seddiki

Function : Author

Laboratoire d'Informatique Avancée de Saint-Denis

Cyril de Runz

Function : Author
PersonId : 19574
IdHAL : cyril-de-runz
ORCID : 0000-0002-5951-6859
IdRef : 130379832

CV

Kevin Guelton

Function : Author
PersonId : 18297
IdHAL : kevin-guelton
ORCID : 0000-0002-3292-7746
IdRef : 07883919X

CV

Herman Akdag

Function : Author

Laboratoire d'Informatique Avancée de Saint-Denis

Domains

Computer Science [cs]

Haki Shtalbi : Connect in order to contact the contributor

https://hal-univ-paris8.archives-ouvertes.fr/hal-03247643

Submitted on : Thursday, June 3, 2021-11:03:39 AM

Last modification on : Wednesday, November 3, 2021-3:57:12 AM

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hal-03247643 , version 1 (03-06-2021)

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HAL Id : hal-03247643 , version 1

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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,, vol. 7, Springer, pp.109-125, 2017. ⟨hal-03247643⟩

A fault detection approach for robotic systems combining the data obtained from sensor measurements and linear observer-based estimations

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