Date of Award
2012
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Abstract
On August 5, 2010 the U.S. Department of Energy (DOE) has designated the Center for Ocean Energy Technology (COET) at Florida Atlantic University (FAU) as a national center for ocean energy research and development of prototypes for open-ocean power generation. Maintenance on ocean-based machinery can be very costly. To avoid unnecessary maintenance it is necessary to monitor the condition of each machine in order to predict problems. This kind of prognostic health monitoring (PHM) requires a condition-based maintenance (CBM) system that supports diagnostic and prognostic analysis of large amounts of data. Research in this field led to the creation of ISO13374 and the development of a standard open-architecture for machine condition monitoring. This thesis explores an implementation of such a system for ocean-based machinery using this framework and current open-standard technologies.
Extent
ix, 114 p. : ill. (some col.)
Recommended Citation
Bowren, Mark., "Software framework for prognostic health monitoring of ocean-based power generation" (2012). Electronic Theses and Dissertations 2010 - 2019. 644.
https://digitalcommons.fau.edu/etd_general_6/644
Identifier
FADT3342035
Comments
by Mark Bowren.|Thesis (M.S.C.S.)--Florida Atlantic University, 2012.|Includes bibliography.|Electronic reproduction. Boca Raton, Fla., 2012. Mode of access: World Wide Web.|by Mark Bowren.