The Experts below are selected from a list of 75075 Experts worldwide ranked by ideXlab platform
Wang Wei-jun - One of the best experts on this subject based on the ideXlab platform.
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The Application of the Frozen Coefficient Unique Steady State Elimination Method to the Eliminating of Ferroresonance
Journal of Nantong Vocational College, 2011Co-Authors: Wang Wei-junAbstract:Unique steady state Elimination Method is a new Method for eliminating resonance in nonlinear system presented recently.The aim of this paper is to analyze the eliminating of ferroresonance in neutral grounding power system with frozen coefficient by this Method,and corresponding results are obtained.The conclusion shows that the conditions for eliminating this ferroresonance can be determined by the Hurwitz conditions of a simple matrix.The conclusions of this paper are proved correct by numerical simulation,and meanwhile it shows the effectiveness of unique steady state Elimination Method.
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Unique Steady State Elimination Method Used in Ferroresonance
Guangdong Electric Power, 2010Co-Authors: Wang Wei-jun, Pla LogisticsAbstract:There often exists certain disparity between the experimental data and the conclusion while using experimental study,numerical simulation and theory analysis to deal with ferroresonance problems.Therefore,a new Method for eliminating resonance in nonlinear system,the unique steady state Elimination Method,is presented.Its basic idea is that if there is a normal(non-resonance) solution for the system,and the steady state of system is unique,then the corresponding conditions are the conditions for eliminating resonance.The Method is applied to analyze the eliminating of ferroresonance in neutral grounding power system.Based upon estimation of unit matrix,the conditions for eliminating this ferroresonance can be obtained.The conclusions of this paper are proved correct by numerical simulation,and it shows the effectiveness of unique steady state Elimination Method.
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Application of Matrix Decomposition in Sole Steady-state Harmonic Elimination Method
Journal of Jianghan Petroleum University of Staff and Workers, 2010Co-Authors: Wang Wei-junAbstract:Sole steady-state harmonic Elimination Method,appearing in recent years,is a new analytical Method used in eliminating harmonic vibration of non-linear system.Its basic concept is that if there exists a proper solution to dissonance in the non-linear system with sole steady state,the corresponding condition is just the condition under which harmonic doesn't occur in the system.This paper has applied the Method into the analysis on ferromagnetic resonance in power system of neutral ground and acquired corresponding condition for harmonic Elimination by means of matrix decomposition.The result indicates that the condition may be determined by the stability of decomposing matrix,which is proved to be correct with numerical simulation.It also shows the availability of sole steady-state harmonic Elimination Method.
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Application of Unique Steady State Elimination Method in Ferroresonance Based on Vector Comparison
Journal of Zhejiang Water Conservancy and Hydropower College, 2010Co-Authors: Wang Wei-jun, Pla LogisticsAbstract:Unique steady state Elimination Method is a new Method for eliminating resonance in nonlinear system presented recently.Its basic idea is that if there is a normal(non-resonance) solution for the system,and the steady state of the system is unique,the corresponding conditions are the conditions for eliminating resonance.In this paper,this new Method is applied to analyze the eliminating of ferroresonance in neutral grounding power system.Based on vector comparison Method,the conditions for eliminating this ferroresonance are obtained,which can be determined by the Hurwitz conditions of some constant matrixes.The conclusions of this article are proved correct by numerical simulation,and it shows the effectiveness of unique steady state Elimination Method.
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UNIQUE STEADY Elimination Method BASED ON FROZEN COEFFICIENT AND ITS APPLICATION IN THE FERRO RESONANCE
Journal of Nanyang Institute of Technology, 2010Co-Authors: Wang Wei-junAbstract:Unique steady state Elimination Method is a new Method for eliminating resonance in nonlinear system presented recently. Its basic idea is that if there is a normal (non-resonance) solution for the system,and the steady state of system is unique,then the corresponding conditions are the conditions for eliminating resonance. In this paper,this new Method is applied to analyze the eliminating of Ferro resonance in neutral grounding power system. Based upon frozen coefficient Method,the conditions for eliminating this Ferro resonance are obtained,which can be determined by the Hurwitz conditions of a simple matrix. The conclusions of this article are proved correct by numerical simulation,and it shows the effectiveness of unique steady state Elimination Method.
Pla Logistics - One of the best experts on this subject based on the ideXlab platform.
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Unique Steady State Elimination Method Used in Ferroresonance
Guangdong Electric Power, 2010Co-Authors: Wang Wei-jun, Pla LogisticsAbstract:There often exists certain disparity between the experimental data and the conclusion while using experimental study,numerical simulation and theory analysis to deal with ferroresonance problems.Therefore,a new Method for eliminating resonance in nonlinear system,the unique steady state Elimination Method,is presented.Its basic idea is that if there is a normal(non-resonance) solution for the system,and the steady state of system is unique,then the corresponding conditions are the conditions for eliminating resonance.The Method is applied to analyze the eliminating of ferroresonance in neutral grounding power system.Based upon estimation of unit matrix,the conditions for eliminating this ferroresonance can be obtained.The conclusions of this paper are proved correct by numerical simulation,and it shows the effectiveness of unique steady state Elimination Method.
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Application of Unique Steady State Elimination Method in Ferroresonance Based on Vector Comparison
Journal of Zhejiang Water Conservancy and Hydropower College, 2010Co-Authors: Wang Wei-jun, Pla LogisticsAbstract:Unique steady state Elimination Method is a new Method for eliminating resonance in nonlinear system presented recently.Its basic idea is that if there is a normal(non-resonance) solution for the system,and the steady state of the system is unique,the corresponding conditions are the conditions for eliminating resonance.In this paper,this new Method is applied to analyze the eliminating of ferroresonance in neutral grounding power system.Based on vector comparison Method,the conditions for eliminating this ferroresonance are obtained,which can be determined by the Hurwitz conditions of some constant matrixes.The conclusions of this article are proved correct by numerical simulation,and it shows the effectiveness of unique steady state Elimination Method.
Sajad Najafi Ravadanegh - One of the best experts on this subject based on the ideXlab platform.
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Large-scale power system controlled islanding based on Backward Elimination Method and Primary Maximum Expansion Areas considering static voltage stability
International Journal of Electrical Power & Energy Systems, 2015Co-Authors: Farkhondeh Jabari, Heresh Seyedi, Sajad Najafi RavadaneghAbstract:This paper proposes a novel approach for separation of bulk power system into several stable subsystems following a severe disturbance. An interconnected power system may become unstable due to wide area contingency when it is operated close to the stability boundaries as a result of increased demand, power industry restructuring and competition in the deregulated electricity markets. Meanwhile, large-scale power system controlled splitting is the last resort to prevent catastrophic cascading outages and wide area blackout. The proposed Method of this paper reduces the huge initial search space of the islanding strategy to only interface boundary network by clustering the coherent generators and simplifying the network graph. Then, Backward Elimination Method (BEM) based on Primary Maximum Expansion Areas (PMEAs) has been proposed to generate all proper islanding scenarios in the simplified graph. The Newton–Raphson power flow Method and Q–V modal analysis have been used to evaluate the steady state stability of the islands in each generated scenario. Binary Imperialistic Competitive Algorithm (BICA) has then been applied to minimize total load-generation mismatch considering no-isolated bus, voltage permitted range and static voltage stability constraints. Comprehensive discussions have been provided using the simulations on NPCC 68-bus test system. The results demonstrate the speed, effectiveness and capability of the proposed strategy to generate fast feasible splitting solutions considering static and dynamic stability.
Zahra Hossein-nejad - One of the best experts on this subject based on the ideXlab platform.
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Image matching based on the adaptive redundant keypoint Elimination Method in the SIFT algorithm
Pattern Analysis and Applications, 2020Co-Authors: Zahra Hossein-nejad, Hamed Agahi, Azar MahmoodzadehAbstract:Scale invariant feature transform (SIFT) is one of the most effective techniques in image matching applications. However, it has a main drawback: existing numerous redundant keypoints located very close to each other in the image. These redundant keypoints increase the computational complexity while they decrease the image matching performance. Redundant keypoint Elimination Method (RKEM)–SIFT are incorporated to eliminate these points by comparing their distances with a fixed experimental threshold value. However, this value has a great impact on the matching results. In this paper, an adaptive RKEM is presented which considers type of the images and distortion thereof, while adjusting the threshold value. Moreover, this value is found separately for the reference and sensed images. In an image, the adaptive RKEM finds the histogram of the keypoints distances, for which the number and the width of the bins are determined based on the number of keypoints and the distances distribution metrics. Then, a maximum value for searching the optimal threshold value is determined. Finally, for each integer value smaller than the mentioned maximum, a set containing distances smaller than that value is created and the one with the smallest variance is selected. The integer value corresponding to that set is chosen as the adaptive threshold for that image. This approach can improve the efficiency of the RKEM-SIFT in eliminating redundant keypoints. Simulation results validated that the proposed Method outperforms the SIFT, A^2 SIFT and RKEM-SIFT in terms of the matching performance indices.
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RKEM: Redundant Keypoint Elimination Method in Image Registration
IET Image Processing, 2017Co-Authors: Zahra Hossein-nejad, Mehdi NasriAbstract:Image features can be identified using keypoints, and there are various algorithms to detect these important points of an image. Scale-invariant feature transform (SIFT) is one of the most applicable algorithms in keypoint extraction. One of the deficiencies of SIFT and its modifications is that they extract redundant keypoints along with the important ones. A keypoint is called redundant if it is very close to another keypoint, and its sum of distances to all other keypoints is smaller. Elimination of a redundant keypoint increases the speed of algorithms in addition to image matching precision. In this study, redundant keypoint Elimination Method (RKEM) is proposed to remove redundant keypoints of the SIFT algorithm. To do this, the distances between keypoints are calculated. Then if the distance is smaller than a pre-defined threshold, the redundant point is discarded based on the redundancy index. The proposed RKEM Method is applied on basic SIFT, and some recent modification of SIFT such as auto-adaptive SIFT and uniform robust SIFT. To investigate the efficiency of the proposed Method, a set of experiments is done in image matching and registration. Experimental results show that the proposed RKEM Method can improve the efficiency of SIFT family in terms of TP-rate, precision, repeatability, and root-mean-square error.
Ling Gao - One of the best experts on this subject based on the ideXlab platform.
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Constructing windows+gcc+mpi+omp and performance testing with Gauss-Jordan Elimination Method in finding the inverse of a matrix
2010 International Conference On Computer Design and Applications, 2010Co-Authors: Juanjuan Bai, Ling GaoAbstract:In this paper the hybrid programming model is stated briefly, windows+gcc+mpi+omp is constructed in the multi-core cluster system, and the configuration is tested by the implementation of Gauss-Jordan Elimination Method in finding the inverse of a matrix. Experimental results show that we have successfully constructed windows+gcc+mpi+omp, and the running time of Gauss- Jordan Elimination Method in finding the inverse of a matrix is reduced significantly.