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

作     者：Zoran Lajic Mogens Blanke Ulrik Dam Nielsen 

作者机构：Technical University of Denmark Department of Mechanical Engineering Section of Coastal Maritime and Structural Eng.Build. 403 2800-Kgs. Lyngby Denmark Technical University of Denmark Department of Electrical Engineering Automation and Control Group Build. 326 2800-Kgs. Lyngby Denmark Norwegian University of Technology and Science Centre for Ships and Ocean Structures 7491 Trondheim Norway 

出 版 物：《IFAC Proceedings Volumes》 

年 卷 期：2009年第42卷第8期

页      面：24-29页

摘      要：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.