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Big Data Analysis of the Speed Performance of a 176k DWT Bulk Carrier in Real Operating Conditions.

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Title: Big Data Analysis of the Speed Performance of a 176k DWT Bulk Carrier in Real Operating Conditions.
Authors: Cho, Yurim, Lee, Inwon
Source: Journal of Marine Science & Engineering; Oct2024, Vol. 12 Issue 10, p1816, 20p
Subject Terms: Ecological disturbances, Wind speed, Miso, Big data, Dynamic models
Abstract: Assessment of ship performance under in-service conditions is challenging due to the complex effects of many environmental disturbances. ISO 15016 and ISO 19030 standards are commonly used to evaluate ship operating performance. However, ISO 15016 requires numerous variables, a complex calculation formula, and considerable time and cost, and ISO 19030 only evaluates the reduction of ship speed caused by wind and neglects the effect of waves. To improve both standards and achieve a more accurate ship performance assessment, this study proposes a new performance prediction model, the multi-input single-output (MISO) system, which assumes that each ship has specific frequency characteristics according to type and size. Based on this new model, in-service navigation data collected from a 176k DWT bulk carrier, which amount to 5.7 million data points, are analyzed to assess the speed performance of the vessel subject to environmental disturbances. The proposed model was validated by comparing its results with ISO 19030 and specifically assessing the speed–power curves and speed reduction measured in operational data with the influence of environmental disturbances removed. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Marine Science & Engineering is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Label: Title
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  Data: Big Data Analysis of the Speed Performance of a 176k DWT Bulk Carrier in Real Operating Conditions.
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Cho%2C+Yurim%22">Cho, Yurim</searchLink><br /><searchLink fieldCode="AR" term="%22Lee%2C+Inwon%22">Lee, Inwon</searchLink>
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  Data: Journal of Marine Science & Engineering; Oct2024, Vol. 12 Issue 10, p1816, 20p
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Ecological+disturbances%22">Ecological disturbances</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br /><searchLink fieldCode="DE" term="%22Miso%22">Miso</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+models%22">Dynamic models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Assessment of ship performance under in-service conditions is challenging due to the complex effects of many environmental disturbances. ISO 15016 and ISO 19030 standards are commonly used to evaluate ship operating performance. However, ISO 15016 requires numerous variables, a complex calculation formula, and considerable time and cost, and ISO 19030 only evaluates the reduction of ship speed caused by wind and neglects the effect of waves. To improve both standards and achieve a more accurate ship performance assessment, this study proposes a new performance prediction model, the multi-input single-output (MISO) system, which assumes that each ship has specific frequency characteristics according to type and size. Based on this new model, in-service navigation data collected from a 176k DWT bulk carrier, which amount to 5.7 million data points, are analyzed to assess the speed performance of the vessel subject to environmental disturbances. The proposed model was validated by comparing its results with ISO 19030 and specifically assessing the speed–power curves and speed reduction measured in operational data with the influence of environmental disturbances removed. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Marine Science & Engineering is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/jmse12101816
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 1816
    Subjects:
      – SubjectFull: Ecological disturbances
        Type: general
      – SubjectFull: Wind speed
        Type: general
      – SubjectFull: Miso
        Type: general
      – SubjectFull: Big data
        Type: general
      – SubjectFull: Dynamic models
        Type: general
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      – TitleFull: Big Data Analysis of the Speed Performance of a 176k DWT Bulk Carrier in Real Operating Conditions.
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            NameFull: Cho, Yurim
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            NameFull: Lee, Inwon
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            – D: 01
              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
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