Data-driven bounded-error fault detection

DOI10.1002/acs.2443zbMath1334.93050OpenAlexW1902428773MaRDI QIDQ2800917

Rafael M. Gasca, Antonio J. Suárez Fábrega, José Manuel Bravo Caro, Pedro J. Abad Herrera

Publication date: 19 April 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2443

zbMATH Keywords

fault detectionnonlinear systemsnonparametric identificationbounded errordata driveninterval predictor

Mathematics Subject Classification ID

Production models (90B30) System identification (93B30) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Discrete-time control/observation systems (93C55)

Cites Work

• Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results
• Process fault detection based on modeling and estimation methods - a survey
• An algorithm for bounded-error identification of nonlinear systems based on DC functions
• Fault-Diagnosis Applications
• Testing the covariance matrix of the innovation sequence with sensor/actuator fault detection applications
• Identification for passive robust fault detection using zonotope-based set-membership approaches
• Fault detection for a class of nonlinear networked control systems
• Fault diagnosis of a simulated industrial gas turbine via identification approach
• Robust fault detection using zonotope-based set-membership consistency test
• Estimation theory and uncertainty intervals evaluation in presence of unknown but bounded errors: Linear families of models and estimators
• Robust fault detection based on adaptive threshold generation using interval LPV observers
• Bounded Error Identification of Systems With Time-Varying Parameters
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