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Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Introduction to Evolutionary Computing
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Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques
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Robust Model-Based Fault Diagnosis for Dynamic Systems
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Computational Intelligence in Fault Diagnosis
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Introduction to Evolutionary Computing
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Diagnosis and Fault-Tolerant Control
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Neuro-Fuzzy Architectures and Hybrid Learning
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FAULT DIAGNOSIS OF MACHINES VIA PARAMETER ESTIMATION AND KNOWLEDGE PROCESSING
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Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors
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Identification of nuclear transients via optimized fuzzy clustering
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Statistical signal processing approaches to fault detection
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A neuro-fuzzy multiple-model observer approach to robust fault diagnosis based on the DAMADICS benchmark problem
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Neuro-fuzzy networks and their application to fault detection of dynamical systems
inferredcites →https://doi.org/10.1016/j.engappai.2007.04.002openalex-snapshot
Online fault detection and isolation of nonlinear systems based on neurofuzzy networks
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Genetically programmed-based artificial features extraction applied to fault detection
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Brain emotional learning based intelligent controller applied to neurofuzzy model of micro-heat exchanger
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Combining boosting and evolutionary algorithms for learning of fuzzy classification rules
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Observer-based fault detection and isolation: Robustness and applications
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Neuro-fuzzy methods for nonlinear system identification
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Fault Diagnosis: Models, Artificial Intelligence, Applications
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Fault Detection and Diagnosis in Engineering Systems
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Soft Computing Approaches to Fault Diagnosis for Dynamic Systems
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FAULT DIAGNOSIS OF AN INDUSTRIAL GAS TURBINE USING NEURO-FUZZY METHODS
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NEURO-FUZZY BASED FAULT DIAGNOSIS APPLIED TO AN ELECTRO-PNEUMATIC VALVE
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STATISTICAL SIGNAL PROCESSING APPROACHES TO FAULT DETECTION
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