Damage Detection of Jacket Offshore Platforms Based on 1D CNN

Damage detection plays a key role for the safety of offshore platforms. In this paper, a detection method is proposed based on one dimensional CNN to extract damage related sensitive features automatically from the acceleration data. The existence, location, number, severity of damages can be detected by our method and need no handcrafted feature engineering. The damage cases considered in the paper include both single and multiple damages with different severities. By using of ANSYS, we get the offshore platform model and make the finite element analysis. The validity of this method is verified and the results show that the proposed method can make damage detection from vibration signal data effectively.