论文信息 - Fault diagnosis for dynamical systems using soft computing

Fault diagnosis for dynamical systems using soft computing

Fault diagnosis schemes for small-scale systems using novel fuzzy-neural networks with general parameter learning and time delay neural networks with linear regressions, are described. Then a new fault diagnosis approach for large-scale systems employing the fuzzy-neural network and immune network is introduced. Results from real world applications are presented.

Yasuhiko Dote | F. D. Yakuwa | S. Satoh | Muhammad Shafique Shaikh

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