期刊论文详细信息
American Journal of Applied Sciences | |
Fault Detection and Isolation in Dynamic Systems using Statistical Local Approach and Hybrid Least Squares Algorithm | Science Publications | |
Zina Houhamdi1  Belkacem Athamena1  Mohammed Muhairat1  | |
关键词: Hybrid least squares; Fault detection and isolation; Residual; Fault detectability and isolatability; Local approach; | |
DOI : 10.3844/ajassp.2007.977.986 | |
学科分类:自然科学(综合) | |
来源: Science Publications | |
【 摘 要 】
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.
【 授权许可】
Unknown
【 预 览 】
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RO201911300890545ZK.pdf | 35KB | download |