Identification and Analysis of Full Scale Ventilation Events | Zendy

Luca Savio | Zendy; Sverre Steen | Zendy

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Identification and Analysis of Full Scale Ventilation Events

Author(s) -

Luca Savio,

Sverre Steen

Publication year - 2012

Publication title -

international journal of rotating machinery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.265

H-Index - 33

eISSN - 1026-7115

pISSN - 1023-621X

DOI - 10.1155/2012/951642

Subject(s) - computer science , propeller , ventilation (architecture) , full scale , scale (ratio) , fuzzy logic , marine engineering , process (computing) , set (abstract data type) , operations research , industrial engineering , data mining , real time computing , meteorology , artificial intelligence , cartography , engineering , operating system , physics , computer vision , programming language , geography

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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