Skip to Main content Skip to Navigation
Conference papers

Fault Detection and Isolation Current Sensor of Electrical Powertrain System

Abstract : In this paper, an approach for detection and isolation of defect in induction motor in electrical vehicle is presented. Three current sensors which can predispose to faults (fault is modeled as an additional fault offset or multiplicative fault (gain) are assumed. An Extended Kalman Filter (EKF) is synthesized to estimate the state variables in the induction machine in order to calculate the residual signals. These residuals are then used to detect the fault occurrence and identify the faulty sensor based on a threshold scheme.
Complete list of metadata

https://hal.univ-lorraine.fr/hal-03059410
Contributor : Kondo Adjallah Connect in order to contact the contributor
Submitted on : Saturday, December 12, 2020 - 5:00:01 PM
Last modification on : Wednesday, November 3, 2021 - 5:21:56 AM

Identifiers

Collections

Citation

Dehbia Ouamara, Moussa Boukhnifer, Ahmed Chaibet, Ahmed) Maidi, Alexandre Sava, et al.. Fault Detection and Isolation Current Sensor of Electrical Powertrain System. ICCAD'2020 - the 4th International Conference on Control, Automation and Diagnosis, Oct 2020, Paris, France. ⟨10.1109/ICCAD49821.2020.9260549⟩. ⟨hal-03059410⟩

Share

Metrics

Record views

61