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 language | English |
|---|---|
| Title of host publication | 7. IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes |
| Publication date | 2009 |
| Pages | 24-29 |
| ISBN (Print) | 978-3-902661-46-3 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - Barcelona, Spain Duration: 30 Jun 2009 → 3 Jul 2009 Conference number: 7 http://safeprocess09.upc.es/ |
Conference
| Conference | 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes |
|---|---|
| Number | 7 |
| Country | Spain |
| City | Barcelona |
| Period | 30/06/2009 → 03/07/2009 |
| 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