The accurate identification and classification of various power quality disturbances are keys to ensuring high-quality electrical energy. In this study, the statistical characteristics of the disturbance signal of wavelet transform coefficients and wavelet transform energy distribution constitute feature vectors. These vectors are then trained and tested using SVM multi-class algorithms. Experi...

this paper presents a new control method for a three-phase four-wire unified power quality conditioner (upqc) to deal with the problems of power quality under distortional and unbalanced load conditions. the proposed control approach is the combination of instantaneous power theory and synchronous reference frame (srf) theory which is optimized by using a self-tuning filter (stf) and without us...

Diagnosing a power quality disturbance means identifying the type and cause of the disturbance. Fast diagnosis of power quality disturbances is important so as to assist network operators in performing counter measures and implementing suitable power quality mitigation actions. In this study a novel method for performing power quality diagnosis is presented by using the S-transform and rule bas...

At present the demand of electrical power is growing day by day with a very fast rate, so we require much capable transmission and distribution system with the most excellent quality of supply. That’s why power quality is a major issue in the distribution system and this is the area which attracts all electrical engineers. The major impact of poor quality of supply is on the highly loaded distr...

− This paper describes a simple power quality analyzer based on a digital signal processor. In this analyzer, a new algorithm for detection and classification of power quality events is implemented. The analyzer detects and classifies in real-time transients, waveform distortions, sags, interruptions and swells.

In recent years, power quality measurements are one of the research topics of the Instrumentation and Measurement Group of Instituto de Telecomunicações. This paper summarizes the latest achievements. The paper describes the proposed algorithms for detection and classification of power quality disturbances and the new measuring instruments that were developed.

In this paper, the initial development stages of a power quality monitoring instrument are described. The paper is focused on new algorithms developed for real-time detection and classification of power quality disturbances. The developed algorithms aim to cover a wide range of disturbances that may occur in a power system and that may differ in their characteristics (e.g. magnitude or duration...

In order to improve the prediction ability of welding quality during high-power disk laser welding, a new approach was proposed and applied in the classification of the dynamic features of metal vapor plume. Six features were extracted through the color image processing method. Three features, including the area of plume, number of spatters, and horizontal coordinate of plume centroid, were sel...

This paper describes the design and modeling of an artificial neural network (ANN) classifier using VHDL. This classifier is targeted primarily to classify the six different types of power quality disturbance. The high level architecture comprises of a control unit and a neural network datapath. The control unit is further divided into five interconnected sub modules: bus master, ram, pseudo ra...