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

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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.
Original languageEnglish
Title of host publication7. IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
Publication date2009
Pages24-29
ISBN (Print)978-3-902661-46-3
DOIs
Publication statusPublished - 2009
Event7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - Barcelona, Spain
Duration: 30 Jun 20093 Jul 2009
Conference number: 7
http://safeprocess09.upc.es/

Conference

Conference7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
Number7
CountrySpain
CityBarcelona
Period30/06/200903/07/2009
Internet address

Keywords

  • Sensor and actuator faults
  • Nonlinear methods
  • Marine applications

Cite this

Lajic, Z., Blanke, M., & Nielsen, U. D. (2009). Fault Detection for Shipboard Monitoring – Volterra Kernel and Hammerstein Model Approaches. In 7. IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (pp. 24-29) https://doi.org/10.3182/20090630-4-ES-2003.00004