Open AccessExtended Kalman observer based sensor fault detection
Author(s) -
Noura Rezika Bellahsene Hatem,
Messaoud Mostefai,
Oum El Kheir Aktouf
Publication year - 2019
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v9i3.pp1546-1552
Subject(s) - kalman filter , observer (physics) , fault detection and isolation , computer science , control theory (sociology) , fault (geology) , noise (video) , artificial intelligence , physics , actuator , control (management) , quantum mechanics , seismology , image (mathematics) , geology
This article discusses the Kalman observer based fault detection approach. The calculation of the residues can detect faults, but if there are noises, uncertainties become very important. To reduce the influence of these noises, a calculation of the instantaneous energy of the residues gave a better precision. The Kalman observer was used to estimate system performance and eliminate unknown noise and external disturbances. Instantaneous Power Calculation (IPCFD) based fault detection can detect potential sensor faults in hybrid systems. The effectiveness of the proposed approach is illustrated by the main application.