Classification of partial discharge (PD) patterns is a significant tool in identifying the type of defects in cables. Development of reliable classifiers to identify various defects in the cable insulation is of vital...
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This article stabilizes the significant link between static power and reliability. More particularly, shows the general leakage reduction techniques provide a valid solution to reduce leakage current under Negative Bi...
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The utilization of inexhaustible assets is a significant achievement towards viable individual versatility. Using natural fibers is a worthwhile input towards the ecological mindful of individual transportation. There...
The utilization of inexhaustible assets is a significant achievement towards viable individual versatility. Using natural fibers is a worthwhile input towards the ecological mindful of individual transportation. There were numerous advantages related with green initiative which includes better acoustic properties, weight and cost saving potential along with better working conditions. This research contributes a review in the expansive field of green composites searching out for materials with possibilities to be applied on vehicle body parts. The usefulness of the regular fiber composites for car industry was outlined. In addition, this work distinguishes a different method for assessing natural fiber composites compared with general desired criteria. This leads to a situation that natural fiber is no longer an environmental waste by its large scale industrial application which is being discussed here. Here different criteria levels were given to the categorize natural fibers. This criteria serves as a basic tool for the engineers while selecting the natural fiber composites based on its practical application. The automobile business is in the driving seat of green composites since it is here that the need is most prominent. Today we're not offering materials that will change the landscape in the way that metal replacement did, but we are beginning to offer natural fiber composites that will present improvements, particularly in areas such as impact resistance, chemical resistance and, in some cases, process cost.
Nowadays, face detection is common. Its used in many areas. With the help of face detection benchmark data-sets, many signs of progress have been made. Face detection methods used nowadays is not matching the real-wor...
Nowadays, face detection is common. Its used in many areas. With the help of face detection benchmark data-sets, many signs of progress have been made. Face detection methods used nowadays is not matching the real-world requirements. With new advancing technologies and services, we need to upgrade our existing systems. By using a data-set called as WIDER FACE which is very large in size than already existing data-sets, we can improve the performance. WIDER FACE data-set has many faces in it which may be challenging as it includes faces under different conditions. Moreover, we can see that in face detection task, WIDER FACE data-set is best for training and testing the accuracy of the model. But existing face detection algorithms and models are not up-to the mark. They have major limitations. So we created a WIDER FACE detection system which will help us overcome all those issues.
A new dynamical system exhibiting chaos and a torso-like set of rest points is reported in this research work. In more detail, the rest points of the new chaotic nonlinear plant are a pair of open curves of rest point...
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Laminated Glass, regarded as the safety glass, is widely used in modern architectural applications. The structural behaviour of this type of glass is highly complex owing to the presence of the interlayer. In such a c...
Laminated Glass, regarded as the safety glass, is widely used in modern architectural applications. The structural behaviour of this type of glass is highly complex owing to the presence of the interlayer. In such a case, classical theoretical formulations are of no use and it becomes necessary to employ specially formulated equations or numerical simulations to evaluate the performance of laminated glass. Present work consists of displacement-controlled four-point bending tests on laminated glass beams to study the load-deflection behaviour and fracture pattern of the samples. Numerical simulations of the test samples are carried out in ANSYS to achieve the maximum tensile stress and deflection values corresponding to the initial failure load. Three laminated glass performance models are used to analytically evaluate the values of failure stress for laminated glass.
Occurrence of partial discharges (PD) is a critical phenomenon preceding an impending insulation failure in HVDC cables. Modeling of PD due to deformations in the insulation is a vital step towards the development of ...
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ISBN:
(纸本)9781538641798
Occurrence of partial discharges (PD) is a critical phenomenon preceding an impending insulation failure in HVDC cables. Modeling of PD due to deformations in the insulation is a vital step towards the development of a reliable monitoring tool to assess the condition of cable insulation. Finite Element Method (FEM) is proved to be a constructive technique in modeling partial discharge phenomena in AC cables. Modeling of PD requires the estimation of electric field which is complex in HVDC cables compared to HVAC cables due to the dependence of material conductivity on temperature and electric field inside the cable geometry. This paper is an attempt towards the development of a FEM based model for simulation of partial discharge occurrence due to voids in the insulation of HVDC cables. A three dimensional FEM model of a 500 kV HVDC cable with a cylindrical void inside the insulation is modeled in ANSYS platform. The developed model is simulated for voids of two different sizes and apparent charge is estimated for each case. The simulation results show the feasibility of the developed FEM model to simulate the PD phenomena in HVDC cables under steady DC conditions and changing temperature environment.
Classification of partial discharge (PD) patterns is a significant tool in identifying the type of defects in cables. Development of reliable classifiers to identify various defects in the cable insulation is of vital...
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ISBN:
(纸本)9781538641798
Classification of partial discharge (PD) patterns is a significant tool in identifying the type of defects in cables. Development of reliable classifiers to identify various defects in the cable insulation is of vital importance in assessing the condition of cables in service. This paper proposes the development of Artificial Neural Network (ANN) based classifiers and Support Vector Machine (SVM) classifier for identification of cable defects such as voids, metal particle in the insulation, high potential metal tip, semiconductor layer tip, metals in the insulation and insulation incision. PD measurements are done on 11 kV XLPE cables with defects and wavelet based de-noising method is applied to abstract the PD pulses. Various PRPD features are extracted and used for training the ANN and SVM based models in MATLAB environment. The performance of SVM classifier and ANN based back propagation neural network classifier are analyzed for various types of defects. Classification accuracy of each models are analyzed and feasibility of optimum models for classification of cable defects is presented.
A new dynamical system exhibiting chaos along with a saddle and two saddle-foci rest points is reported in this work. The new nonlinear plant with chaos possesses a self-excited chaotic attractor with complex properti...
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