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Since the actual status of coexist of supervisory control and data acquisition system (SCADA) and phasor measurement unit (PMU), precision of traditional power system state estimation without PMU phasor is low. A new algorithm based on PMU/SCADA mixed measurements is proposed. Constraints of zero-injection nodes and PMU measurements are taken into estimation equation, and the optimal estimation under...
Monitoring the loss of distribution transformer is very significant for the energy conservation and economic operation of transformer. Off-line approach is the main way used in loss detection in China. In this paper, an on-line detecting method for transformer loss is proposed. The equivalent circuit of transformer is created. Based on the structure and working principle of transformer, the formulas...
The problem of designing functional observers for linear impulsive systems is addressed. By applying suitable matrix transformations, sufficient conditions for the existence of the functional observers that are capable of exponentially estimating any given function of the state vector are derived. Numerical examples are presented to demonstrate the effectiveness of the proposed method.
Let β be an arbitrary non-trivial nest in any factor von Neumann algebra M; and φ: algM β → M be a weakly continuous linear mapping. We say that φ is a Jordan derivable mapping at zero point if φ(AB + BA) = φ(A)B + Aφ(B) +φ(B)A + Bφ(A) for all A,B ∈ A with AB + BA = 0. In this paper, we prove that if φ is a Jordan derivable mapping at zero point, then there exist a derivation δ:algM β → M and a scalar...
This paper aims to explore the zero-crossing edge detection method based on the scale-space theory. After the one-dimensional signal and two-dimensional image are convolved with the second derivation of the Gaussian kernel respectively, the zero-crossing method is applied to And the zero-crossings of the second derivation. These points are located and then construct the edge of the signal or the image...
This paper presents a finite difference method for the design of gradient coil in MRI. In this method, a linear matrix equation is formulated using a finite-difference approximation of the current density in the source domain and an optimization procedure is then carried out to solve the resulting inverse problem and the coil winding pattern are found. The developed algorithm is tested with a transverse...
On the basis of 2001 Madrid census data, the empirical analysis indicates that gender and travel time considerations are important in explaining the variation in commute mode choice. In this paper, two ordered logit models have been employed to explore the influence of gender, travel time on commuting mode choice The purpose of this paper is to analyze whether an ordered regression model with different...
There are two aspects for locating precision of weed recognition system based on binocular vision. One is extraction of the feature points, and the other is distortion of camera lens used for image collecting. Some improvement has been made for these problems in this paper. Improving Harris operator makes the precision of feature point reach sub-pixel and rectifies image-distortion before calibrating...
Clustering with constraints is an active area in machine learning and data mining. In this paper, a semi-supervised kernel-based fuzzy C-means algorithm called PCKFCM is proposed which incorporates both semi-supervised learning technique and the kernel method into traditional fuzzy clustering algorithm. The clustering is achieved by minimizing a carefully designed objective function. A kernel-based...
A time-domain mathematical model of three-phase three-wire active power filter (APF) current control loop is established based on virtual floating-ground analysis method; the conception of predictive control based on reference-voltage-prediction is proposed, its prediction accuracy is better than the prediction accuracy of reference-current-prediction at the same order. Predictive control equation...
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