Can I read CMAC Neural Network for Transformer Faults on EtoBox?

CMAC Neural Network for Transformer Faults by Joseph Désiré HANDBE is a document available to read on EtoBox.

What is CMAC Neural Network for Transformer Faults about?

This paper presents a novel cerebellar model articulation controller (CMAC) neural network approach for diagnosing incipient faults in power transformers using dissolved gas analysis (DGA). The CMAC NN method enhances fault diagnosis accuracy and noise rejection by utilizing self-learning and generalization characteristics, while generating training data based on IEC standards. Results indicate the method

Author

Joseph Désiré HANDBE

Language

EN