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Adaptive Signal Detection in Auto-Regressive Interference with Gaussian Spectrum

Autor: M. R. Moniri, M. M. Nayebi, A. Sheikhi

Publikováno v: Iranian Journal of Electrical and Electronic Engineering, Vol 4, Iss 4, Pp 140-140 (2008)

A detector for the case of a radar target with known Doppler and unknown complex amplitude in complex Gaussian noise with unknown parameters has been derived. The detector assumes that the noise is an Auto-Regressive (AR) process with Gaussian autoco

Externí odkaz: https://doaj.org/article/3fa26e1bd12a4c728e9e1422f587c3b7

Handling Parametric and Non-parametric Additive Faults in LTV Systems

Autor: Qinghua Zhang, Michèle Basseville

Publikováno v: 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS)
9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), Sep 2015, Paris, France. ⟨10.1016/j.ifacol.2015.09.579⟩

International audience; We recently proposed and investigated a statistical approach to fault detection and isolation (FDI) for linear time-varying (LTV) systems subject to parametric additive faults with time-varying profiles, combining a generalize

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d30429c4a71434832ccb6fcb04aefcd0
https://hal.inria.fr/hal-01232167

Statistical detection and isolation of additive faults in linear time-varying systems

Autor: Michèle Basseville, Qinghua Zhang

Publikováno v: Automatica
Automatica, Elsevier, 2014, 50 (10), pp.2527-2538. ⟨10.1016/j.automatica.2014.09.004⟩
Automatica, 2014, 50 (10), pp.2527-2538. ⟨10.1016/j.automatica.2014.09.004⟩

An early version of this paper was presented at the 16th IFAC SYSID, Brussels, July 2012.; International audience; This paper describes a statistical approach to fault detection and isolation for linear time-varying (LTV) systems subject to additive

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57151a34144713e4fd974510e2c668bf
https://hal.inria.fr/hal-01081899