| Title |
Development of Fault Diagnosis Algorithm using Correlation Analysis and ELM |
| Authors |
임재윤(Lim, Jae-Yoon) ; 지평식(Ji, Pyeong-Shik) |
| DOI |
https://doi.org/10.5370/KIEEP.2016.65.3.204 |
| Keywords |
ELM ; Modular networks ; Photovoltaic power system |
| Abstract |
It is difficult to establish accurate modeling of PV power system because of various uncertainty. However, it is important work to modeling of PV for fault diagnosis. This paper proposes modeling and fault diagnosis method using correlation analysis and ELM(Extreme Learning Machine). Rather than using total data, we select optimal time interval with higher corelation between PV power and solar irradiation. Also, we use average value during 60 minute to avoid rapid variation of PV power. To show the effectiveness of the proposed method, we performed various experiments by dataset. |