engleski

WAVELET TRANSFORM NEURAL NETWORK CLASSIFIER FOR ELECTRICAL FERRY POWER DISTURBANCE CLASSIFICATION

Hybridization and electrification of ferry-based transport aims to reduce environmental impact caused by conventional power generation methods used on conventional ferries. Diversification of ship’s power generation and distribution systems, use of alternative power sources, energy storage solutions and voltage and frequency converters can have a negative impact on electrical power quality and complicate detection and identification of electrical faults. This paper proposes the method for identification and classification of such faults based on wavelet transform decomposition and neural network classifier.

electrical ferry ; fault classification ; neural network ; wavelet transform

nije evidentirano