Voltage sags are one of the most concerned power quality events in the modern power systems as they often lead to tripping or mis-operation of the customer equipment. The coordination study between the system and the equipment helps alleviate such nuisances. This paper describes new software developments aimed at automated voltage sag characterization and equipment behavior analysis. The propos...

Quality of power is becoming a very important requirement in the new, deregulated and restructured power industry [1]. The importance is associated both with a need to have a “cleaner” power delivery due to a variety of sensitive loads and with a goal to provide a premium service to gain a competitive edge. A major part of achieving higher quality of power is the ability for assessing the quali...

image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...

This paper presents a classification work performed on industrial parts using artificial vision, Support Vector Machine (SVM), Boosting and a combination of classifiers. The object to be controlled is a coated heater used in television set. Our project consists of detecting anomalies under manufacturer production as well as in classifying the anomalies among twenty listed categories. Manufactur...

Power Quality issues associated with isolated, transportation, stand alone, or decentralized power systems are becoming more complex and requiring additional consideration as more advanced generation and load-control led techniques are utilized. Due to the typically low inertia and short-circuit levels, frequency/voltage variations, unbalances and harmonics tend to be amplified. These systems a...

An UPQC (Unified Power Quality Conditioner) is anequipment composed by two active conditioners operating in a combined way. One of the active conditioners is connected in series with the electrical power system, allowing the compensation of problems in the system voltages. The other active conditioner is connected in parallel with the electrical system, and allows the compensation of current ha...

Power quality signal feature selection is an effective method to improve the accuracy and efficiency of power quality (PQ) disturbance classification. In this paper, an entropy-importance (EnI)-based random forest (RF) model for PQ feature selection and disturbance classification is proposed. Firstly, 35 kinds of signal features extracted from S-transform (ST) with random noise are used as the ...

In this paper, the development of a single-phase digital signal processor (DSP) based power quality analyzer is described. In this stage of development, special attention is devoted to the selection of the signal processing algorithms to be implemented in the prototype. The algorithms must be capable of efficiently detecting and classifying the large range of power quality disturbances that can...