Data-Driven decision support tool for power quality measures in marine vessel power system
| Autor: | Marta Molinas, Tor Arne Johansen, Espen Skjong, Serge Gale |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Engineering Decision support system business.industry 020208 electrical & electronic engineering 02 engineering and technology Power factor Reliability engineering Data-driven Electric power system 020901 industrial engineering & automation Work (electrical) Principal component analysis Partial least squares regression 0202 electrical engineering electronic engineering information engineering business Reliability (statistics) |
| Zdroj: | 2016 IEEE Transportation Electrification Conference and Expo (ITEC). |
| Popis: | Efficiency and reliability are important properties for a marine vessel power system, both from an economical point of view and for safety reasons. Efficiency and reliability correlate with power quality, as a poor power quality may endanger devices in the system as well as reducing the power factor(s). In this initial work bi-linear methods such as Principal Component Analysis (PCA) and Partial Least Squares Regression (PLSR) are explored as tools for analysing and predicting harmonic pollution depending on the load demands in the system. The analysis and prediction are data-driven, giving the data a chance to speak for itself. |
| Databáze: | OpenAIRE |
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