Application of artificial neural networks in process fault diagnosis

DOI10.1016/0005-1098(93)90090-GzbMath0800.93021MaRDI QIDQ1261071

Heikki N. Koivo, Timo Sorsa

Publication date: 16 September 1993

Published in: Automatica (Search for Journal in Brave)

Mathematics Subject Classification ID

General systems (93A10)

Related Items

Fuzzy logic and neural network applications to fault diagnosis, Statistical information based single neuron adaptive control for non-Gaussian stochastic systems, Fault detection and isolation in robotic manipulators via neural networks: A comparison among three architectures for residual analysis, Soft computing approaches to fault diagnosis for dynamic systems, Double fault distinguishability in linear systems

Cites Work

• Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy - a survey and some new results
• Self-organization and associative memory
• Process fault detection based on modeling and estimation methods - a survey
• A survey of design methods for failure detection in dynamic systems
• Practical identification of NARMAX models using radial basis functions
• A massively parallel architecture for a self-organizing neural pattern recognition machine
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