The subsea electrical analysis based on support vector machine

• Main Author: Sun, Ming Ming.
• Other Authors: Song Qing
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
• Online Access: http://hdl.handle.net/10356/54428
• Institution: Nanyang Technological University

This 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.