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

Autor:	Mogens Blanke, Zoran Lajic, Ulrik Dam Nielsen
Rok vydání:	2009
Předmět:	Engineering Decision support system business.industry Elevation Control engineering General Medicine Fault detection and isolation Computer Science::Hardware Architecture Nonlinear system Transformation (function) Control theory Volterra kernel Frequency domain Time domain business
Zdroj:	IFAC Proceedings Volumes. 42:24-29
ISSN:	1474-6670
DOI:	10.3182/20090630-4-es-2003.00004
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9f4d9b8221f5722284302c33197e1909 https://doi.org/10.3182/20090630-4-es-2003.00004 Zobrazit plný text záznamu