Buoy pitch and roll computed using three angular rate sensors

Steele, Kenneth F.; Wang, D.W.; Earle, M.D.; Michelena, E.D.; Dagnall, R.J.

doi:10.1016/s0378-3839(98)00025-8

Cited by 22 publications

(11 citation statements)

References 3 publications

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“…HIPPY (see http://www.datawell.nl/Products/Motionsensors.aspx) sensors have been used operationally in the early 1970's (Steele et al, 1992;Steele et al, 1998). The configuration was a mechanical gimbaled sensor used to directly determine the pitch and roll angles (or to measure the accelerations in x, y, and z as in the case of a Datawell wave buoy).…”

Section: -Buoysmentioning

confidence: 99%

Wave modelling in coastal and inner seas

Cavaleri

Abdalla

Benetazzo

et al. 2018

Progress in Oceanography

175

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In the long term development of the research on wind waves and their modelling, the present situation is framed with a short look at the past, a critical analysis of the present capabilities and a foresight of where the field is likely to go. After a short introduction, Chapter 2 deals with the basic processes at work and their modelling aspects. Chapter 3 highlights the interaction with wind and currents. Chapter 4 stresses the need for a more complete, spectral, approach in data assimilation. Chapter 5 summarizes the situation with a discussion on the present status in wave modelling and a look at what we can expect in the future.

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Section: -Buoysmentioning

confidence: 99%

Wave modelling in coastal and inner seas

Cavaleri

Abdalla

Benetazzo

et al. 2018

Progress in Oceanography

175

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“…Steele et al (1998) advocates an iterative method where one would (i) start with the small angle approximation (A6) and (A7), (ii) integrate via FFT to get an approximation for P and R, (iii) plug into (A4) and (A5), and repeat (ii) and (iii) until the correlation with the previous results changes very little (they claim that three iterations worked well). Steele et al (1998) advocates an iterative method where one would (i) start with the small angle approximation (A6) and (A7), (ii) integrate via FFT to get an approximation for P and R, (iii) plug into (A4) and (A5), and repeat (ii) and (iii) until the correlation with the previous results changes very little (they claim that three iterations worked well).…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, all 6 degrees of freedom were recorded with a motion pack 3 (local buoy reference frame) along with compass heading. The compass heading was used to transform the pitch-and-roll rate output to an Earth-fixed coordinate frame, and the result is integrated to produce north-south and east-west slopes (Steele et al 1998). The compass heading was used to transform the pitch-and-roll rate output to an Earth-fixed coordinate frame, and the result is integrated to produce north-south and east-west slopes (Steele et al 1998).…”

Section: ) Easimentioning

confidence: 99%

Wave Measurement Intercomparison and Platform Evaluation during the ITOP (2010) Experiment

Collins

Lund

Ramos

et al. 2014

Journal of Atmospheric and Oceanic Technology

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Spectral wave parameters from 11 platforms, measured during the recent Impact of Typhoons on the Ocean in the Pacific (ITOP) experiment, are intercompared. Two moorings, separated by ;180 km, were deployed in a section of ''typhoon alley'' off the coast of Taiwan for 4 months. Each mooring consisted of an Air-Sea Interaction Spar (ASIS) buoy that was tethered to a moored Extreme Air-Sea Interaction (EASI) buoy. EASI, the design of which is based on the hull of a 6-m Navy Oceanographic Meteorological Automatic Device (NOMAD) buoy, is validated as a 1D wave sensor against the established ASIS. Also, during this time three drifting miniature wave buoys, a wave-measuring marine radar on the Research Vessel Roger Revelle, and several overpasses of Jason-1 (C and Ku bands) and Jason-2 (Ku band) satellite altimeters were within 100 km of either the northern or southern mooring site. These additional measurements were compared against both EASI buoys. Findings are in-line with previous wave parameter intercomparisons. A corroborated measurement of mean wave direction and direction at the peak of the spectrum from the EASI buoy is presented. Consequently, this study is the first published account of directional wave information that has been successfully gathered from a buoy with a 6-m NOMAD-type hull. This result may be applied to improve operational coverage of wave direction. A high level of confidence is established in the ITOP wave data. Advantages and disadvantages of the different sensor types are discussed, which may be useful for the design of future field experiments.

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“…Stelle et.al provides details of wave buoy measurement for pitch and roll buoys [21]. Buoy pitch and roll are computed using angular sensors [22], see section 3.1. Distributions of directional wind speeds can be characterised using finite mixture models of continuous variable probability.…”

Section: Maintenance and Forecastingmentioning

confidence: 99%

Wind and wave directional transit time model for offshore wind operation and maintenance

Mills¹,

Stephen²,

McMillan³

et al. 2016

5th IET International Conference on Renewable Power Generation (RPG) 2016

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Uncertainty in operation and maintenance costs of offshore renewable installations can be incurred through failure to properly account for marine conditions. One such area, vessel utilisation scheduling, requires accurate forecasts of wind and wave conditions to minimise charter costs as well as plant downtime. Additionally, fuel usage and auxiliary costs will increase with longer transfer times. Exploiting auxiliary offshore measurement data and its relation to accessibility constraints could reduce idle charter periods by allowing operatives to better anticipate prevailing site conditions. Existing models omit the effect of direction on operations and fail to account for the complex relations between dependent environmental variables which can impact on operations such as crew transfers, lifting and jacking operations. In this paper, a methodology for improving the forecasting of offshore conditions through incorporating distributed meteorological and marine observations at multiple timescales is presented. Advancing towards a demonstration of a strategic maintenance approach of this kind will assist in both reducing direct costs and associated initial project finance. The developed model will be beneficial to developers and operators as better forecasting of when conditions are suitable for maintenance could reduce costs, lost earnings and improve mobilisation of vessels and technicians.

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Buoy pitch and roll computed using three angular rate sensors

Cited by 22 publications

References 3 publications

Wave modelling in coastal and inner seas

Wave modelling in coastal and inner seas

Wave Measurement Intercomparison and Platform Evaluation during the ITOP (2010) Experiment

Wind and wave directional transit time model for offshore wind operation and maintenance

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