METHOD FOR PREDICTING FAILURE OF VESSEL PROPULSION EQUIPMENT USING MACHINE LEARNING AND SYSTEM THEREOF

摘要

Provided are a method for predicting a failure of vessel propulsion equipment using machine learning and a system thereof. In order to use an RUL prediction model, characteristics of data are extracted and processed to generate a status indicator through the PCA. By dividing operation areas and standardizing result data for each operation area, the failure of equipment can be predicted based on a learning result input to machine learning.;COPYRIGHT KIPO 2020