The paper describes and attempts to advance a statistic- probabilistic method and a computer program to evaluate generator power in a ship power plant (SPP). Unlike the conventional methods usually employing load tables, this method is much better both in terms of accuracy and economic efficiency. Such a method is possible due to the fact that the total required power is and therefore can be regarded as a stationary aleatory and ergodic process. Here the SPP load curve is obtained by numerical simulation since said curve is a sum of aleatory - component time-series. The time series are randomized by means of a Monte-Carlo type method. The selection obtained from the load curve is checked for normality by applying such criteria as HI-SQUARE, Kolmogorov-Smirnov and Pearson. The SPP generator power is determined for various significance thresholds. Both the method and the program have been validated on various types of sea-going vessels.

  • Supplemental Notes:
    • ICCAS 94, 8th Intl Conf on Computer Applications in Shipbuilding; 5-9 Sept 1994; Bremen, Germany. Sponsored by Bremer Vulkan Verbund AG and Kockums Computer Systems AB. Procs. Publ by Berry Rasmusson Reklam AB, Sweden, ISBN 91-630-2762-3. Vol 2, p 11.87 [12 p, 3 ref, 1 tab, 7 fig]
  • Authors:
    • Ceanga, E
    • Dugan, V
  • Publication Date: 1994


  • English

Subject/Index Terms

Filing Info

  • Accession Number: 00710851
  • Record Type: Publication
  • Source Agency: British Maritime Technology
  • Files: TRIS
  • Created Date: Aug 14 1995 12:00AM