Ship anemometer bias management

Thornhill, Eric; Wall, Alanna; McTavish, Sean; Lee, Richard

doi:10.1016/j.oceaneng.2020.107843

Cited by 7 publications

(9 citation statements)

References 14 publications

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“…The NRC and DRDC have developed a suite of ABM tools which are currently being applied to existing and future Canadian ships. 20 Generally speaking, the use of two anemometers results in full coverage of the azimuthal range where wind can be accurately sensed for all conditions provided the appropriate anemometer is selected. In some circumstances, certain parts of the azimuthal range may not be reliably reported by any anemometer.…”

Section: Abmmentioning

confidence: 99%

“…M&S tools can be used to make SHOL Compliance easier and more efficient, as well as enable more complex methods of expressing interconnected limitations. SHOL Planning has four phases: M&S-1: Anemometer analysis: Using established ABM procedures, 20 this involves evaluation of the anemometer locations and their respective biases in wind speed and direction due to the presence of the ship superstructure. M&S-2: Motion analysis: Calculation of ship motion profiles over a range of expected sea conditions.…”

Section: Application Of Modeling and Simulation Tools For Shol Planni...mentioning

confidence: 99%

“…M&S-1 : Anemometer analysis: Using established ABM procedures, 20 this involves evaluation of the anemometer locations and their respective biases in wind speed and direction due to the presence of the ship superstructure.…”

Section: Application Of Modeling and Simulation Tools For Shol Planningmentioning

confidence: 99%

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Supporting shipboard helicopter flight testing with simulation and metrics for predicting pilot workload

Comeau

Wall

Thornhill

et al. 2022

Journal of Defense Modeling & Simulation

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Shipboard helicopter operations are much more challenging and complex than land-based operations due to many factors associated with the presence of the ship. To determine those conditions in which safe operations may occur, a First of Class Flight Trial (FOCFT) is conducted for every new ship–helicopter pair. This trial results in a Ship–Helicopter Operating Limit (SHOL) envelope that is used to document operational limits for regular operations. Conducting a FOCFT is a, expensive, and time-consuming task that requires testing all aspects of operations. Modeling and simulation efforts to support shipboard helicopter operations have been ongoing internationally for many years with the intention of de-risking FOCFT and introducing efficiency into the testing process. Canada will be accepting several new ship classes into its fleet over the next two decades. In support of FOCFT for these new ships, modeling and simulation tools are being developed by the National Research Council (NRC) Canada and Defence Research and Development Canada (DRDC) and significant advancements have occurred in the past decade. As part of this work, NRC and DRDC now use a framework and analysis approach that is intended to standardize SHOL testing with the use of modeling and simulation. This paper introduces that framework and gives details on the modeling and simulation tools that can be used to reduce risk and increase efficiency for Canada’s upcoming FOCFTs.

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Section: Abmmentioning

confidence: 99%

Section: Application Of Modeling and Simulation Tools For Shol Planni...mentioning

confidence: 99%

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Supporting shipboard helicopter flight testing with simulation and metrics for predicting pilot workload

Comeau

Wall

Thornhill

et al. 2022

Journal of Defense Modeling & Simulation

Self Cite

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“…Deviation analysis relies on various methodologies to understand the relationship between anemometer readings and true wind conditions. It encompasses wind tunnel tests [10], computational fluid dynamics (CFD) simulations [11][12][13][14], real sea trials [15], and other experimental techniques. Its primary aim is to identify disparities between the readings and the actual wind, examining the extent to which these variations deviate from the established baseline trend.…”

Section: Introductionmentioning

confidence: 99%

“…Bias correction is a vital aspect of wind parameter measurement, necessitating the rectification of biases in ship anemometer measurements [22]. Several methods are employed for this purpose, including the table-check method [23,24], the anemometer bias management (ABM) strategy [15], and the bias correction combination four-anemometer weighted fusion algorithm (FAF-BC) [25]. These studies are designed to mitigate or eliminate deviations between the measured wind parameter values and the actual wind conditions.…”

Section: Introductionmentioning

confidence: 99%

A Method for Estimating Ship Surface Wind Parameters by Combining Anemometer and X-Band Marine Radar Data

Zhang,

Lu,

Tian

et al. 2023

Remote Sensing

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The steady airflow field on a ship is affected by structure and motion and challenged by phenomena such as the low measurement accuracy of the wind field caused by the occlusion of the anemometer. In this work, an improvement in the accuracy of wind measurements affected by structure is proposed, and a method for combining anemometer and X-band marine radar (RCRF) data is designed to further obtain wind parameters. The first step is to use the multivariate bias strategy to achieve the optimal layout of multiple anemometers based on computational fluid dynamics (CFD) numerical simulation data. Then, random forest (RF) is employed to train the wind parameter estimation model. Finally, the wind parameters are optimally estimated by combining the anemometer with the X-band radar. Under the ideal simulation, noise, and temporal uncertainty combined with anemometer noise conditions, the RCRF algorithm performance is evaluated. Compared with the bias correction combination four-anemometer weighted fusion algorithm (FAF-BC) and the BP neural network algorithm for radar wind measurement combination (RCBP), the mean errors in wind direction and speed are reduced by 1.99° and 6.99% at most. The maximum errors are reduced by 14.46° and 15.81% at most, respectively.

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Multi-anemometer optimal layout and weighted fusion method for estimation of ship surface steady-state wind parameters

Zhang

Liu

et al. 2022

Ocean Engineering

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Ship anemometer bias management

Cited by 7 publications

References 14 publications

Supporting shipboard helicopter flight testing with simulation and metrics for predicting pilot workload

Supporting shipboard helicopter flight testing with simulation and metrics for predicting pilot workload

A Method for Estimating Ship Surface Wind Parameters by Combining Anemometer and X-Band Marine Radar Data

Multi-anemometer optimal layout and weighted fusion method for estimation of ship surface steady-state wind parameters

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