Fault Detection and Isolation in Dynamic Systems using Statistical Local Approach and Hybrid Least Squares Algorithm
Belkacem Athamena, Zina Houhamdi & Mohammed Muhairat
American Journal of Applied Sciences, Volume 4, Issue 12, pp. 977–986 · doi.org/10.3844/ajassp.2007.977.986
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.
Licence and reuse
Free to read. This article carries the publisher’s copyright, as printed on it: © 2007 Science Publications. It is free to read; ask us before reusing it.
How to reuse this articleResponses (0)
About this article
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
- Licence
- © Science Publications
- Issue
- Volume 4, Issue 12
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
