AJAS Cover
Frequency: Continuous
ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

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

Belkacem Athamena, Zina Houhamdi and Mohammed Muhairat

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.

American Journal of Applied Sciences
Volume 4 No. 12, 2007, 977-986

DOI: https://doi.org/10.3844/ajassp.2007.977.986

Submitted On: 16 January 2007 Published On: 31 December 2007

How to Cite: Athamena, B., Houhamdi, Z. & Muhairat, M. (2007). Fault Detection and Isolation in Dynamic Systems using Statistical Local Approach and Hybrid Least Squares Algorithm. American Journal of Applied Sciences, 4(12), 977-986. https://doi.org/10.3844/ajassp.2007.977.986

Open AccessCopyright: © 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.

  • 3,469 Views
  • 2,237 Downloads
  • 9 Citations

Download

Keywords

  • Hybrid least squares
  • Fault detection and isolation
  • Residual
  • Fault detectability and isolatability
  • Local approach