Research and Implementation of a USB Interfaced Real-Time Power Quality Disturbance Classification System
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Univ Suceava, Fac Electrical Eng
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study, the research and implementation of an automatic power quality (PQ) recognition system are presented. This system contains a USB interfaced multichannel data acquisition (DAQ) device and a graphical user interfaced (GUI) application. The DAQ device consists of an analog-to-digital (ADC) converter, field programmable gate array (FPGA) and a USB first in first out (FIFO) buffer interface chip. The application employs Stockwell Transform (ST) technique combined with neural network model to build the classifier. Eight basic and two combined PQ disturbances are determined for the classification. Different from the previous studies, the synthetic signals used for neural network training are modified by adding the harmonics detected in the real signal. This approach is used to increase the classifier accuracy against the real line power signal. Also, ST is simplified by using only the frequencies which are required in the feature extraction step to reduce the processing time. Developed application handles the signal processing, the classification, and the database recording tasks by using multi-threaded programming approach under the mean time of 41 ms. The experimental results show that the proposed power quality disturbance detection system is capable of recognizing and reporting power quality faults effectively within the real-time requirements.
Açıklama
Anahtar Kelimeler
discrete transforms, graphical user interfaces, neural networks, power quality, real-time systems
Kaynak
Advances in Electrical and Computer Engineering
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
17
Sayı
3
