Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/54428
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dc.contributor.authorSun, Ming Ming.
dc.date.accessioned2013-06-20T03:29:00Z
dc.date.available2013-06-20T03:29:00Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10356/54428
dc.description.abstractThis Industrial Sponsored Project (ISP), which is describes in this report, is collaborated between the author` s sponsored company, FMC Technologies Singapore and NTU School of Electrical and Electronics Engineering. It aims to develop a prediction tool for the subsea electrical analysis to improve the engineering work efficiency in the industry. The Subsea Electrical Analysis is a critical engineering task to validate the design of the subsea control system, which is time costly. Subsea Electrical Performance Prediction Model is a program based on the Support Vector Machine theory for providing the predicted results for the Subsea electrical power analysis so that the engineering hour consuming can be reduced. FMC global database is open for the author` s data mining. MICROCAP which provide by FMC is employed for the simulation of the designed training data sets. MATLAB is used for the programming.en_US
dc.format.extent52 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineeringen_US
dc.titleThe subsea electrical analysis based on support vector machineen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorSong Qingen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
dc.contributor.organizationFMC Technologiesen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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