Statistical Change Detection for Diagnosis of Buoyancy Element Defects on Moored Floating Vessels

Mogens Blanke, Shaoji Fang, Roberto Galeazzi, Bernt J. Leira

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Floating platforms with mooring systems are used extensively in off-shore operations. Part of the mooring systems are underwater buoyancy elements that are attached to the mooring lines. Loss or damage of a buoyancy element is invisible but changes the characteristics of the mooring system and alters its ability to provide the necessary responses to withstand loads from weather. Damage of a buoyancy element increases the operation risk and could even cause abortion during an oil-offloading. The objective of this paper is to diagnose the loss of a buoyancy element using diagnostic methods. After residual generation, statistical change detection scheme is derived from mathematical models supported by experimental data. To experimentally verify loss of an underwater buoyancy element, an underwater line breaker is designed to create realistic replication of abrupt faults. The paper analyses the properties of residuals and suggests a dedicated GLRT change detector based on a vector residual. Special attention is paid to threshold selection for non ideal (non-IID) test statistics.
Original languageEnglish
Title of host publicationFault Detection, Supervision and Safety of Technical Processes
EditorsAstorga Zaragoza, Carlos Manuel, Arturo Molina
Volume8
PublisherInternational Federation of Automatic Control
Publication date2012
Pages462-467
ISBN (Print)978-3-902823-09-0
DOIs
Publication statusPublished - 2012
Event8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - National Autonomous University of Mexico, Mexico City, Mexico
Duration: 29 Aug 201231 Aug 2012

Conference

Conference8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
LocationNational Autonomous University of Mexico
CountryMexico
CityMexico City
Period29/08/201231/08/2012
SeriesIFAC Proceedings Volumes (IFAC-PapersOnline)

Keywords

  • Change Detection
  • Fault Diagnosis
  • Position Mooring

Cite this

Blanke, M., Fang, S., Galeazzi, R., & Leira, B. J. (2012). Statistical Change Detection for Diagnosis of Buoyancy Element Defects on Moored Floating Vessels. In A. Zaragoza, C. Manuel, & A. Molina (Eds.), Fault Detection, Supervision and Safety of Technical Processes (Vol. 8, pp. 462-467). International Federation of Automatic Control. IFAC Proceedings Volumes (IFAC-PapersOnline) https://doi.org/10.3182/20120829-3-MX-2028.00224