نتایج جستجو برای: pq disturbances classification
تعداد نتایج: 540949 فیلتر نتایج به سال:
This paper presents a new framework based on modified EMD method for detection of single and multiple PQ issues. In modified EMD, DWT precedes traditional EMD process. This scheme makes EMD better by eliminating the mode mixing problem. This is a two step algorithm; in the first step, input PQ signal is decomposed in low and high frequency components using DWT. In the second stage, the low freq...
With the development of industry, more large-scale non-linear loads are added to existing power systems and they cause the serious power quality (PQ) problems to the nearby sensitive installations more and more. To protect the important loads and mitigate the impact of PQ disturbances on them, various compensating devices are installed. One of the most important control skills used in the compe...
Origin and triggers of power quality (PQ) events must be identified in prior, order to take preventive steps enhance quality. However it is important identify, localize classify the PQ determine causes origins disturbances. In this paper a novel algorithm presented voltage variations into six different considering space phasor model (SPM) diagrams, dual tree complex wavelet transforms (DTCWT) s...
In this paper, the power quality (PQ) disturbances have been detected and classified using Stockwell’s transform (S-transform) rule-based decision tree (DT) according to IEEE standards. The proposed technique based on extracted features of PQ events signals, which are from timefrequency analysis. Several considered with simple complex include spike, flicker, oscillatory transient, impulsive not...
The main goal of this work is the characterization of the power quality (PQ) in the mould industry in the centre region of Portugal and the effects of the PQ disturbances in their production processes and their worldwide competitiveness. First a panorama of the mould industry in Portugal is described pointing key figures of the sector, some history and present needs. Then the classification of ...
Power quality (PQ) assurance is a vital part of electrical distribution networks. There are many advantages and benefits improving PQ, especially in the modern/smart grid. Smart grid (SG) has lot complicated sensitive components (non-linear loads) addition to renewable energy systems (wind-solar) that may also be source PQ disturbances. problems harm personal life national production. Static sy...
Paraquat is a commonly used herbicide in many countries which can lead to systematic poisoning on exposure, In this study, paraquat (PQ)-induced changes in the expression of Cyclooxygenase-2 (COX-2) along with biochemical and histopathological changes in the lungs, liver and kidneys were studied. Twenty four male Wistar rats (180-200 g) were exposed either against saline as control group or var...
This paper presents a new recognition and classification method for power quality (PQ) disturbances on the basis of pattern linguistic values. This method solves the difficulty of recognizing disturbances rapidly and accurately by using fuzzy logic. This method uses classification disturbance patterns to define the linguistic values of fuzzy input variables and used the input variables of corre...
Aiming at the problems of multiple types power quality composite disturbances, strong feature correlation and high recognition error rate, a method disturbances identification based on multi-resolution S-transform decision tree was proposed. Firstly, according to IEEE standard, signal models seven single 17 combined are given, disturbance waveform samples generated in batches. Then, order impro...
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...
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