... ABSTRACT A novel method for black-box modeling of ship maneuvering motion is proposed. The identification method is based on Gaussian progress regression (GPR), and the particle swarm optimization (PSO) is used for optimization of the hyperparameters in the kernel function to improve...

.... In this study, a state-of-the-art Kalman Filter (KF) framework aided by a Finite Element (FE) analysis is employed for nonlinear state estimation and, consequently, structural damage identification of an offshore steel jacket structure subjected to unknown extreme wave loads. The outcome of this approach...

... ABSTRACT Monopile offshore wind turbines (OWT) are the most commonly used type of OWTs for offshore wind farms. Modal parameters are crucial for damage detection and safety evaluation of the monopile OWTs. However, modal parameter identification of the monopile OWTs is challenging due...

... working state and provide reasonable reference for the management department, this paper constructs a state identification model of aids based on BP-DS evidence theory. Two BP neural networks were used to train the basic attribute data and environmental factor data respectively to calculate...

... frequency arctic collision maritime accident causation network ridge ice iceberg frequency arctic water collision accident identification text-based approach Proceedings of the Thirty-second (2022) International Ocean and Polar Engineering Conference Shanghai, China, June 5 10, 2022 Copyright ©...

... wind power is difficult to guarantee. To reduce the O & M cost of the offshore wind turbine, a data-driven condition evaluation method is proposed here. The condition evaluation method starts with the modal identification of monitoring data, which is validated by cross-checking between different...

... of full-scale ships only from the time-series data of ship motions is practical from the viewpoint of ship engineering. wave displacement identification state-space model kalman filter machine learning time-sery model ship motion frequency response function artificial intelligence state...

... Abstract Identification of system transfer function of a ship mounted two-DoF manipulator is challenging due to the existance of randomness in the ocean waves. This paper is presented to address such a task by proposing a time-varying autoregressive moving average with exogenous input (TVARMAX...

...ABSTRACT ABSTRACT The present paper proposes a two-step nonlinear damage identification method for offshore wind turbine structures. This method overcomes the shortcomings of traditional coherence functions and only uses the coherence analysis of structural vibration response signals. Firstly...

...ABSTRACT ABSTRACT The future knowledge of the waves and force is indispensable for the model identification and the real-time control of ocean engineering devices. In order to effectively control the motion of the offshore structures in a real-time manner, it is required to have an accurate...

... on the three-dimensional time-domain mixed source method and the effectiveness of the proposed method is verified by the experimental results. irregular wave amplitude ship parametric rolling threshold value model test identification characteristic wave group stability statistics wave group...

...ABSTRACT ABSTRACT This paper presents a novel two-step hydrodynamic coefficients identification method to identify the damping and restoring moment coefficients of ship roll motion in irregular waves. The random decrement technique (RDT) is first used to convert the responses into random...

... of a commercial seakeeping package and recorded data for a ship's heave and pitch motions in random seas are used to test the accuracy and the validity of the method. It was shown that the method is reliable in the identification of the parameters of the coupled equation of the heave-pitch motions using only...

... To obtain the hydrodynamic derivatives in ship dynamics nonlinear model, a novel system identification approach, two-step semi-conjugate Bayesian regression (TSBR), is firstly developed. The proposed scheme is validated through the experimental data from the free-running tests of the KVLCC2...

... frequency case study separate system linear mode platform linear finite element model artificial intelligence ibrahim stick state jenkins element random decrement technique simulation mode shape identification signature bridge finite element model slip state ABSTRACT...

... modal analysis proceedings spatial distribution spectrum kalman filter identification load cell upstream oil & gas artificial intelligence loading wave loading estimation subsea system load identification algorithm operational modal analysis matrix random sea brincker...

... was evaluated in the indoor experiment. Also, a series of weak sand acoustic signals identification methods were developed to detection the sand particle in dispersed bubble flows. The results show that measured sand energy acoustic signals had a good correlation with the sand concentration during...

... the hydrodynamic derivatives and interaction coefficients, and the identification results are compared with those of captive model tests to verify the identification method. Then 10°/10°, 20°/20° zigzag tests and 35° turning circle manoeuvre are predicted with the identified hydrodynamic derivatives...

... identification scheme is proposed to improve how to assess the MI of installed equipment and better understand short-term and long-term corrosion trends. PMI technology, including XRF and OES, is reviewed to help identify the appropriate technology for a given piping system. Finally, three case studies...

... of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology Chicago, Illinois, USA ABSTRACT Due to problems such as equipment failure, transmission delay, and signal loss, the original AIS (Automatic Identification System) data generally need to be preprocessed before further...