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Research Article · Free to read · Published 31 December 2007

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

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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.

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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

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Fault Detection and Isolation in Dynamic Systems using Statistical Local Approach and Hybrid Least Squares AlgorithmAmerican Journal of Applied Sciences · Volume 4, Issue 12 · pp. 977–986 · © Science PublicationsDownload