Parametric Modelling Of Directional Wave Spectra

Hogben, N.; Cobb, F.C.

doi:10.4043/5212-ms

Cited by 14 publications

(9 citation statements)

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“…The parameterised directional wave spectrum is chosen to be a fifteen-parameter trimodal spectrum that allows for mixed sea such as, say, wind and swell, since it is a summation of three spectra. Basically, the spectrum is similar to the ten-parameter spectrum suggested by, e.g., Hogben and Cobb [14], which is a summation of two parameterised five-parameter spectra. The applied parametric expression…”

Section: Fourier Transform (Fft) and Multivariate Autoregressive (Mvamentioning

confidence: 89%

A novel approach for navigational guidance of ships using onboard monitoring systems

Nielsen

Jensen

2011

Ocean Engineering

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Section: Fourier Transform (Fft) and Multivariate Autoregressive (Mvamentioning

confidence: 89%

A novel approach for navigational guidance of ships using onboard monitoring systems

Nielsen

Jensen

2011

Ocean Engineering

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“…The Parametric method is conceptually simple and is based on the following 10-parameter representation of the bimodal spectrum [9]:…”

Section: Parametric Estimation Methodsmentioning

confidence: 99%

“…The Parametric method used considers a 8-parameter model for the spectrum as proposed in Ref. [9] and is also able to approximate bimodal spectra.…”

Section: Introductionmentioning

confidence: 99%

Estimating directional wave spectrum based on stationary ship motion measurements

Tannuri

Sparano

Simos

et al. 2003

Applied Ocean Research

107

103

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“…Hence, the bimodal spectrum given by Hogben and Cobb [11] is applied. The wave spectrum is introduced in two ways: In the first way, a unimodal PM wave spectrum is assumed, whereas a bimodal PM wave spectrum is considered in the second way.…”

Section: Setup Of Test Casesmentioning

confidence: 99%

Introducing two hyperparameters in Bayesian estimation of wave spectra

Nielsen

2008

Probabilistic Engineering Mechanics

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Abstract. An estimate of the on-site wave spectrum can be obtained from measured ship responses by use of Bayesian modelling, which means that the wave spectrum is found as the optimum solution from a probabilistic viewpoint. The paper describes the introduction of two hyperparameters into Bayesian modelling so that the prior information included in the modelling is based on two constraints: the wave spectrum must be smooth directional-wise as well as frequency-wise. Traditionally, only one hyperparameter has been used to control the amount of smoothing applied in both the frequency and directional ranges. From numerical simulations of stochastic response measurements, it is shown that the optimal hyperparameters, determined by use of ABIC (a Bayesian Information Criterion), correspond to the best estimate of the wave spectrum, which is not always the case when only one hyperparameter is included in the Bayesian modelling. The paper includes also an analysis of full-scale motion measurements where wave spectra estimated by the Bayesian modelling are compared with results from ocean surface measurements by satellite and from a wave radar. The agreement is found to be reasonable.

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Parametric Modelling Of Directional Wave Spectra

Cited by 14 publications

References 0 publications

A novel approach for navigational guidance of ships using onboard monitoring systems

A novel approach for navigational guidance of ships using onboard monitoring systems

Estimating directional wave spectrum based on stationary ship motion measurements

Introducing two hyperparameters in Bayesian estimation of wave spectra

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