Intelligent Fault Diagnosis in Nonlinear Systems
作者： E. Alcorta-Garcia , S. Saucedo-Flores , D.A. Diaz-Romero
DOI: 10.1080/10798587.2013.861963
关键词:
摘要: Fault diagnosis in nonlinear systems is a challenging and very active research area. One of the difficulties to detect isolate faults via observer-based methods design residual generator. In this work an integrated procedure combining conventional decoupling Fuzzy Takagi-Sugeno observers for fault proposed. The advantage proposed AI based approach that condition relaxed contrast with approaches. Furthermore potential use techniques reinforced. methodology shown using three tank system.
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