Journal ArticleDOI
Using wavelet transforms to analyze nonlinear ship rolling and heave-roll coupling
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In this article, the authors explored the use of wavelet transforms to investigate the nonlinear dynamical characteristics of ship roll and coupled heave-roll motion and showed how it could enhance the analysis abilities.About:
This article is published in Ocean Engineering.The article was published on 2006-05-01. It has received 21 citations till now. The article focuses on the topics: Response amplitude operator & Wavelet transform.read more
Citations
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Journal ArticleDOI
On-line prediction of ship roll motion during maneuvering using sequential learning RBF neuralnetworks
TL;DR: In this article, a variable structure radial basis function neural network (RBFNN) was proposed for on-line prediction of ship roll motion during maneuvering, whose structure and parameters are tuned in real time based on a sliding data window observer.
Journal ArticleDOI
Stochastic response analysis of the softening Duffing oscillator and ship capsizing probability determination via a numerical path integral approach
TL;DR: In this article, a numerical path integral approach is developed for determining the response and first-passage probability density functions (PDFs) of the softening Duffing oscillator under random excitation.
Journal ArticleDOI
A real-time ship roll motion prediction using wavelet transform and variable RBF network
TL;DR: The effectiveness of the proposed DWT-based real-time roll prediction scheme is demonstrated by short-term ship roll motion prediction experiments based on the actual shiproll motion measurements collected during sea test of M.V. YuKun.
Journal ArticleDOI
Multiscale attention-based LSTM for ship motion prediction
TL;DR: A novel method named as multiscale attention-based LSTM is presented, which achieves better performance compared with other popular methods in ship motion prediction and to avoid being trapped in local optimization.
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A Real-Time Sequential Ship Roll Prediction Scheme Based on Adaptive Sliding Data Window
TL;DR: Results demonstrate the remarkable predictive accuracy of the proposed ship roll prediction model as well as the effectiveness of the IFGG-based SDW in terms of representing time-varying dynamics.
References
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Book
A wavelet tour of signal processing
TL;DR: An introduction to a Transient World and an Approximation Tour of Wavelet Packet and Local Cosine Bases.
Journal ArticleDOI
Wavelet Analysis of Vibration: Part 1—Theory
TL;DR: In this paper, the authors introduce and review the theory of orthogonal wavelets and their application to signal analysis, including dilation wavelets, which have been developed over a period of about ten years.
Journal Article
Nonlinear rolling motions of ships in longitudinal waves
N E Sanchez,Ali H. Nayfeh +1 more
TL;DR: In this article, an analytical-numerical technique is used to predict qualitative changes taking place as one of the parameters is slowly changed and the results of the analysis and computer simulations are summarized in a bifurcation diagram that displays the instability boundaries.
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Nonlinear and chaotic behavior of structural system investigated by wavelet transform techniques
Lai Ah Wong,Jay Chung Chen +1 more
TL;DR: Results show that Wavelet transform can well isolate weak sub-harmonics or higher-harmonic from the fundamental harmonic response and the random property of chaotic response in the time–frequency domain can easily be observed by the wavelet transform even for a set of short recorded response data.
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Stability and complicated rolling responses of ships in regular beam seas
A.H. Nayfeh,N.E. Sanchez +1 more
TL;DR: In this article, an analytical procedure for predicting the stability and complicated responses of a vessel rolling in regular seas is presented, where the relative wave slope and encounter frequency can be changed alternately and bifurcation diagrams are generated to show the regions of the parameter space where instabilities and degradations in seaworthiness occur.