Damage detection method for mooring lines of submersible structures based on deep learning

摘要

The present invention relates to a moored vessel damage detection method of an offshore floating structure using deep learning, and more particularly, to a moored vessel damage detection method of an offshore floating structure using deep learning for accurately detecting damage to a moored vessel at lower cost by estimating damage to a moored vessel only by using an environmental load corresponding to wave height and wind and movements of a platform of an offshore floating structure by using deep learning. The moored vessel damage detection method of an offshore floating structure comprises: acquiring movement data of a structure through simulation using an offshore floating structure including a moored vessel and a platform modeled by a computer; and estimating damage to the moored vessel through deep learning by using the acquired data.