Diagnostic de roulement à l'aide du filtrage Particulaire

Ouafae Bennis (1) , Frédéric Kratz (1)

1 PRISME - Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique

In this article, the detection of a fault on the inner race of a roller bearing is presented as a problem of optimal estimation of a hidden fault, via measures delivered by a vibration sensor. First, we propose a linear model for the transmission of a vibratory signal to the sensor's diaphragm. The impact of shocks due to the defect is represented by a stochastic drift term whose values are in a discrete set. To determine the state of the roller bearing, we estimate the value of this term using deterministic particle filtering.

Mots clés: Deterministic Particle filtering; diagnosis; bearing roller

Domaines: Automatique

Ouafae Bennis, Frédéric Kratz. Diagnostic de roulement à l'aide du filtrage Particulaire. Diagnostic de roulement à l'aide du filtrage Particulaire, May 2009, SKIKDA, Algérie. pp.171-177. ⟨hal-00657629⟩