American Journal of Applied Sciences

Fault Detection and Isolation in Dynamic Systems using Statistical Local Approach and Hybrid Least Squares Algorithm

Belkacem Athamena, Zina Houhamdi and Mohammed Muhairat

DOI : 10.3844/ajassp.2007.977.986

American Journal of Applied Sciences

Volume 4, Issue 12

Pages 977-986

Abstract

A fault detection and isolation (FDI) scheme for dynamic system proposed. This study deals with the design of discrete-time linear system using delta operator approach and the hybrid least squares (HLS) algorithm. A third residual generation based on statistical local approach and the derivative of the normalized residual on a small temporal window investigated. This new technique meets the desired FDI performance specifications by increasing the faults magnitude and decreasing the noise effects. Some simulation results were provided to evaluate the design.

Copyright

© 2007 Belkacem Athamena, Zina Houhamdi and Mohammed Muhairat. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.