Published in

International Federation of Automatic Control (IFAC), IFAC papers online, 8(42), p. 24-29, 2009

DOI: 10.3182/20090630-4-es-2003.00004

Links

Tools

Export citation

Search in Google Scholar

Fault Detection for Shipboard Monitoring – Volterra Kernel and Hammerstein Model Approaches

Journal article published in 2009 by Zoran Lajic, Mogens Blanke ORCID, Ulrik Dam Nielsen
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

In this paper nonlinear fault detection for in-service monitoring and decision support systems for ships will be presented. The ship is described as a nonlinear system, and the stochastic wave elevation and the associated ship responses are conveniently modelled in frequency domain. The transformation from time domain to frequency domain has been conducted by use of Volterra theory. The paper takes as an example fault detection of a containership on which a decision support system has been installed.