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A Deterministic Approach to Measurement of Noise Attenuation in Oil-Rig Drill Ship Positioning Systems

Received: 30 May 2016     Accepted: 12 June 2016     Published: 29 June 2016
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Abstract

This paper presents a qualitative evaluation of wave-induced motions in an oil-rig drill ship positioning system which incorporates a priori knowledge of noise contamination in the measured data. The noise contamination β defined in the function of the known form (P (X, β )) and X takes the specific values z, which from Cramer-Rao bound, gives the smallest possible variance with which the estimate of β can be determined. A conceptual model of the problem based on the maximum likelihood techniques in terms of joint probability distribution functions enhanced convergence of the iteration process. A filter was postulated to define the error covariance matrix which yielded unbiased estimates of the measured data.

Published in Automation, Control and Intelligent Systems (Volume 4, Issue 3)
DOI 10.11648/j.acis.20160403.12
Page(s) 59-65
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Wave-Induced Motions, Oil-Rig Drill Ship, Maximum Likelihood, Error Covariance Matrix, Noise Attenuation, Filter, Minimum Variance Estimate, Error Covariance Matrix, Iteration Process

References
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[18] Foster, M. R. and Saffman, P. G. (1970). The Drag of a Body Moving Transversely in a Confined Stratified Fluid, Journal of Fluid Mech., 43 (2), 407 – 418.
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Cite This Article
  • APA Style

    E. C. Obinabo, T. C. Nwaoha, F. I. Ashiedu, C. O. Izelu. (2016). A Deterministic Approach to Measurement of Noise Attenuation in Oil-Rig Drill Ship Positioning Systems. Automation, Control and Intelligent Systems, 4(3), 59-65. https://doi.org/10.11648/j.acis.20160403.12

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    ACS Style

    E. C. Obinabo; T. C. Nwaoha; F. I. Ashiedu; C. O. Izelu. A Deterministic Approach to Measurement of Noise Attenuation in Oil-Rig Drill Ship Positioning Systems. Autom. Control Intell. Syst. 2016, 4(3), 59-65. doi: 10.11648/j.acis.20160403.12

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    AMA Style

    E. C. Obinabo, T. C. Nwaoha, F. I. Ashiedu, C. O. Izelu. A Deterministic Approach to Measurement of Noise Attenuation in Oil-Rig Drill Ship Positioning Systems. Autom Control Intell Syst. 2016;4(3):59-65. doi: 10.11648/j.acis.20160403.12

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  • @article{10.11648/j.acis.20160403.12,
      author = {E. C. Obinabo and T. C. Nwaoha and F. I. Ashiedu and C. O. Izelu},
      title = {A Deterministic Approach to Measurement of Noise Attenuation in Oil-Rig Drill Ship Positioning Systems},
      journal = {Automation, Control and Intelligent Systems},
      volume = {4},
      number = {3},
      pages = {59-65},
      doi = {10.11648/j.acis.20160403.12},
      url = {https://doi.org/10.11648/j.acis.20160403.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20160403.12},
      abstract = {This paper presents a qualitative evaluation of wave-induced motions in an oil-rig drill ship positioning system which incorporates a priori knowledge of noise contamination in the measured data. The noise contamination β  defined in the function of the known form (P (X, β )) and X takes the specific values z, which from Cramer-Rao bound, gives the smallest possible variance with which the estimate of β  can be determined. A conceptual model of the problem based on the maximum likelihood techniques in terms of joint probability distribution functions enhanced convergence of the iteration process. A filter was postulated to define the error covariance matrix which yielded unbiased estimates of the measured data.},
     year = {2016}
    }
    

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    T1  - A Deterministic Approach to Measurement of Noise Attenuation in Oil-Rig Drill Ship Positioning Systems
    AU  - E. C. Obinabo
    AU  - T. C. Nwaoha
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    AU  - C. O. Izelu
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    N1  - https://doi.org/10.11648/j.acis.20160403.12
    DO  - 10.11648/j.acis.20160403.12
    T2  - Automation, Control and Intelligent Systems
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    JO  - Automation, Control and Intelligent Systems
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    UR  - https://doi.org/10.11648/j.acis.20160403.12
    AB  - This paper presents a qualitative evaluation of wave-induced motions in an oil-rig drill ship positioning system which incorporates a priori knowledge of noise contamination in the measured data. The noise contamination β  defined in the function of the known form (P (X, β )) and X takes the specific values z, which from Cramer-Rao bound, gives the smallest possible variance with which the estimate of β  can be determined. A conceptual model of the problem based on the maximum likelihood techniques in terms of joint probability distribution functions enhanced convergence of the iteration process. A filter was postulated to define the error covariance matrix which yielded unbiased estimates of the measured data.
    VL  - 4
    IS  - 3
    ER  - 

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Author Information
  • Department of Electrical and Electronic Engineering, Ambrose Alli University, Ekpoma, Edo State, Nigeria

  • Department of Marine Engineering, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria

  • Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria

  • Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria

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