Skip to main content

Estimation of Directional Wave Spectra Using Ship Motion Data

  • Chapter
The Practice of Time Series Analysis

Part of the book series: Statistics for Engineering and Physical Science ((ISS))

Abstract

In rough seas, it is very important for mariners to grasp the sea state around the ship and to secure the safety of the hull and cargo by suitable maneuvers, such as changing the course, slowing down the speed and so on. The difficulty of decision making for these maneuvers arises from the relation between the safety and the cost of the voyage. Therefore the mariners are required to have profound knowledge concerning the sea-keeping characteristics of the ship.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Akaike, H. (1980), “Likelihood and Bayes procedure,” Bayesian Statistics, Bernardo, J. M., De Groot, M. H., Lindley, D. U. and Smith, A. F. M. eds., University Press, Valencia, 143–166.

    Google Scholar 

  • Akaike, H. and Nakagawa, T. (1988), Statistical analysis and control of dynamic systems, KTK Scientific Publishers.

    Google Scholar 

  • Capon, J. (1969), “High-resolution frequency-wavenumber spectrum analysis,” Proceedings of IEEE, Vol. 57, 1408–1418.

    Article  Google Scholar 

  • Hashimoto, N. (1987), “Estimation of directional spectra from a Bayesian approach”, Report of The Port and Harbour Research Institute, Vol. 26, No, 2, 97–125.

    Google Scholar 

  • Hirayama, T. (1987), “Real -time estimation of sea spectra based on motions of a running ship (2nd Report)—Directional wave estimation—”, Journal of The Kansai Society of Naval Architects, No. 204, 21–27.

    Google Scholar 

  • Iseki, T., Ohtsu, K., and Fujino, M. (1992), “A study on estimation of directional spectra based on ship motions”, The Journal of Japan Institute of Navigation, Vol. 86, 179–188.

    Google Scholar 

  • Iseki, T., Ohtsu, K., and Fujino, M. (1992), “A study on estimation of directional spectra based on ship motions-II—Experimental investigation for accuracy—”, The Journal of Japan Institute of Navigation, Vol. 87, 197–203.

    Google Scholar 

  • Iseki, T., Ohtsu, K., and Fujino, M. (1992), “Bayesian estimation of directional wave spectra based on ship motions”, Journal of The Society of Naval Architects of Japan, Vol. 172, 17–25.

    Article  Google Scholar 

  • Isobe, M., Kondo, H. and Horikawa, K. (1984), Expansion of MLM for estimation of directional spectra”, Proceedings of Coastal Engineering, JSCE, Vol. 31, 173–177.

    Google Scholar 

  • Kuwashima, S. and Yasuda, A. (1988), “Wave observation at oceangoing vessels”, Navigation No. 96, 17–25, Japan Institute of Navigation.

    Google Scholar 

  • Price, W.G. and Bishop, R.E.D. (1974), Probabilistic theory of ship dynamics, Chapman and Hall Ltd..

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag New York, Inc.

About this chapter

Cite this chapter

Iseki, T. (1999). Estimation of Directional Wave Spectra Using Ship Motion Data. In: Akaike, H., Kitagawa, G. (eds) The Practice of Time Series Analysis. Statistics for Engineering and Physical Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2162-3_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-2162-3_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7439-1

  • Online ISBN: 978-1-4612-2162-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics