In this paper, a novel approach to classify the signals of power quality (PQ) disturbance is proposed based on segmented and modified S-transform (SMST), deep convolutional neural network (DCNN), multiclass support vector machine (MSVM). The idea frequency segmentation with different adjustable parameters was used in Gaussian window function. accurate time-frequency localization efficient featu...

In this paper, a novel method for the classification of power quality events is illustrated. Fifteen types consisting single and multi-stage disturbances are considered study. A database synthetic PQ generated in MATLAB using mathematical models. The signals passed through modified Stockwell transform second-order Gaussian window that provides ST matrix. From matrix, various statistical feature...

In this work, a new event detection method for power quality analysis based on the statistical analysis of adaptive decomposition signals is presented. The combination of an adaptive prediction filter-based subband decomposition structure with a rule-based histogram analysis block produced successful detection and classification parameters on our real life power system transient data. Proposed ...

In power system, operation and fortification detection and classification of current and voltage conflict is a significant assignment. In this paper, a measurement system of some transient disturbances based on Artificial Neural Networks will be presented.This paper presents a new advance for classifying the proceedings that stand for or direct to the dreadful conditions of power quality. A pro...

This paper focuses on the regulation of electricity distribution business. First, regulation principles of natural monopolies are discussed in general level. Second, different methods used to regulate the electricity distribution business in some European countries are introduced. Third, regulatory models used in Finland, Norway and Sweden are discussed in detail. The roles of efficiency benchm...

Image hashing allows compression, enhancement or other signal processing operations on digital images which are usually acceptable manipulations. Whereas, cryptographic hash functions are very sensitive to even single bit changes in image. Image hashing is a sum of important quality features in quantized form. In this paper, we proposed a novel image hashing algorithm for authentication which i...