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

E. C. Obinabo; T. C. Nwaoha; F. I. Ashiedu; C. O. Izelu

doi:doi:10.11648/j.acis.20160403.12

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

E. C. Obinabo, T. C. Nwaoha, F. I. Ashiedu, C. O. Izelu

Published in Automation, Control and Intelligent Systems (Volume 4, Issue 3)

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

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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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TY  - JOUR
T1  - A Deterministic Approach to Measurement of Noise Attenuation in Oil-Rig Drill Ship Positioning Systems
AU  - E. C. Obinabo
AU  - T. C. Nwaoha
AU  - F. I. Ashiedu
AU  - C. O. Izelu
Y1  - 2016/06/29
PY  - 2016
N1  - https://doi.org/10.11648/j.acis.20160403.12
DO  - 10.11648/j.acis.20160403.12
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 59
EP  - 65
PB  - Science Publishing Group
SN  - 2328-5591
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

E. C. Obinabo

Department of Electrical and Electronic Engineering, Ambrose Alli University, Ekpoma, Edo State, Nigeria
T. C. Nwaoha

Department of Marine Engineering, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria
F. I. Ashiedu

Department of Mechanical Engineering, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria
C. O. Izelu

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

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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

Copy | Download

@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}
}

Copy | Download

TY  - JOUR
T1  - A Deterministic Approach to Measurement of Noise Attenuation in Oil-Rig Drill Ship Positioning Systems
AU  - E. C. Obinabo
AU  - T. C. Nwaoha
AU  - F. I. Ashiedu
AU  - C. O. Izelu
Y1  - 2016/06/29
PY  - 2016
N1  - https://doi.org/10.11648/j.acis.20160403.12
DO  - 10.11648/j.acis.20160403.12
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 59
EP  - 65
PB  - Science Publishing Group
SN  - 2328-5591
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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