Fuzzy logic and neural network applications to fault diagnosis

DOI10.1016/S0888-613X(96)00116-8zbMath0956.68523MaRDI QIDQ1125745

Paul M. Frank, Birgit Köppen-Seliger

Publication date: 1997

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

fuzzy logicknowledge observer

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (6)

Fault detection and isolation in robotic manipulators via neural networks: A comparison among three architectures for residual analysis ⋮ Neuro-fuzzy identification applied to fault detection in nonlinear systems ⋮ Rough fuzzy bipolar soft sets and application in decision-making problems ⋮ Actuator fault diagnosis for a class of nonlinear systems and its application to a laboratory 3D crane ⋮ Soft computing approaches to fault diagnosis for dynamic systems ⋮ Cubic bipolar fuzzy ordered weighted geometric aggregation operators and their application using internal and external cubic bipolar fuzzy data

Cites Work

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• Qualitative simulation
• Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results
• Diagnosing multiple faults
• A theory of diagnosis from first principles
• A survey of design methods for failure detection in dynamic systems
• Fault diagnosis of machines via parameter estimation and knowledge processing. -- Tutorial paper
• Application of artificial neural networks in process fault diagnosis
• Analytical and qualitative model-based fault diagnosis --- a survey and some new results
• Modelling for Fault Detection and Isolation versus Modelling for Control
• Parameterschätzung dynamischer Systeme

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