Identification and Analysis of Full Scale Ventilation Events

The present paper deals with propeller ventilation in full scale. The paper is based on full scale monitoring data from an offshore supply ship during normal operation. The data was collected by the on-line monitoring system HeMoS, developed by Rolls Royce Marine. The data covering one year and a ha...

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Main Authors: Luca Savio, Sverre Steen
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:International Journal of Rotating Machinery
Online Access:http://dx.doi.org/10.1155/2012/951642
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author Luca Savio
Sverre Steen
author_facet Luca Savio
Sverre Steen
author_sort Luca Savio
collection DOAJ
description The present paper deals with propeller ventilation in full scale. The paper is based on full scale monitoring data from an offshore supply ship during normal operation. The data was collected by the on-line monitoring system HeMoS, developed by Rolls Royce Marine. The data covering one year and a half of ship operations were made available within the framework of the Era-Net Martec project PropSeas. The ventilation events are identified by means of an analysis procedure based on fuzzy logic. The paper contains both a basic introduction to fuzzy logic and a detailed description of the analysis procedure. The analysis procedure is then adopted to process the available data, find ventilation events, and form a set which is further analyzed including weather observations.
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institution Kabale University
issn 1023-621X
1542-3034
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publishDate 2012-01-01
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series International Journal of Rotating Machinery
spelling doaj-art-505952413cdf4de6b4ae77cf2dc072322025-02-03T05:58:50ZengWileyInternational Journal of Rotating Machinery1023-621X1542-30342012-01-01201210.1155/2012/951642951642Identification and Analysis of Full Scale Ventilation EventsLuca Savio0Sverre Steen1Department of Marine Technology, Norwegian University of Science and Technology (NTNU), Otto Nielsens vei 10, N-7491 Trondheim, NorwayDepartment of Marine Technology, Norwegian University of Science and Technology (NTNU), Otto Nielsens vei 10, N-7491 Trondheim, NorwayThe present paper deals with propeller ventilation in full scale. The paper is based on full scale monitoring data from an offshore supply ship during normal operation. The data was collected by the on-line monitoring system HeMoS, developed by Rolls Royce Marine. The data covering one year and a half of ship operations were made available within the framework of the Era-Net Martec project PropSeas. The ventilation events are identified by means of an analysis procedure based on fuzzy logic. The paper contains both a basic introduction to fuzzy logic and a detailed description of the analysis procedure. The analysis procedure is then adopted to process the available data, find ventilation events, and form a set which is further analyzed including weather observations.http://dx.doi.org/10.1155/2012/951642
spellingShingle Luca Savio
Sverre Steen
Identification and Analysis of Full Scale Ventilation Events
International Journal of Rotating Machinery
title Identification and Analysis of Full Scale Ventilation Events
title_full Identification and Analysis of Full Scale Ventilation Events
title_fullStr Identification and Analysis of Full Scale Ventilation Events
title_full_unstemmed Identification and Analysis of Full Scale Ventilation Events
title_short Identification and Analysis of Full Scale Ventilation Events
title_sort identification and analysis of full scale ventilation events
url http://dx.doi.org/10.1155/2012/951642
work_keys_str_mv AT lucasavio identificationandanalysisoffullscaleventilationevents
AT sverresteen identificationandanalysisoffullscaleventilationevents