GDL

Journal from gdlhub / 2017-08-11 12:58:52
Oleh : Xiaofeng Wan, Hailin Hu, Yunjun Yu, Liping Kang, Fanpeng Zeng, Telkomnika
Dibuat : 2017-03-10, dengan 1 file

Keyword : NPC Inverter, fault diagnosis, independent component analysis, neural network
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/3677
Sumber pengambilan dokumen : WEB

An open circuit (O-C) fault detection method for grid-connected neutral-point-clamped (NPC) inverter based on independent component analysis (ICA) and neural network (NN) is proposed in this paper. A NN classifier is applied to the fault diagnosis of NPC inverter. The ICA is utilized for the three phase current feature extraction. The ICA reduces the number of NN input neuron. A lower dimensional input space reduces the noise and the training time of NN, the ICA algorithm improves the mapping performance. The proposed algorithm is evaluated with simulation test set. The overall classification performance of the proposed network is more than 97%. The simulation results show that the proposed algorithm performs satisfactorily to fault location.

Beri Komentar ?#(0) | Bookmark

Properti	Nilai Properti
ID Publisher	gdlhub
Organisasi	Telkomnika
Nama Kontak	Herti Yani, S.Kom
Alamat	Jln. Jenderal Sudirman
Kota	Jambi
Daerah	Jambi
Negara	Indonesia
Telepon	0741-35095
Fax	0741-35093
E-mail Administrator	elibrarystikom@gmail.com
E-mail CKO	elibrarystikom@gmail.com