Advanced Materials Research Vol. 787

Abstract: A fault location method based on correlation coefficient was proposed in the paper for the distribution system with distributed generation (DG). At first, by acquiring the Thevenin equivalent parameters of each DG to establish simulation model of the actual distribution network. Then voltage sag feature vectors of each bus would be obtained by simulating short-circuit fault at the location of each bus, respectively. Afterwards, by calculating and analyzing the correlation coefficient between each bus and the actual fault node,, suspicious fault sections can be determined. Finally, the fault section was identified by utilizing the associated node of every suspicious fault section .The method could reduce the fault search range obviously, without a massive requirement of measuring devices, and the required data can be obtained easily. Simulation results of a 10kV distribution network with DG showed that the proposed method was accuracy and effective.

Abstract: This paper presents a genetic algorithm to optimize support vector machine parameters for grounding grid fault diagnosis method. Grounding grid is equivalent to a pure resistance model, extract characteristics of different kinds of corrision states, Using genetic algorithm optimize support vector machine kernel function parameters, achieve the identification of the type of failure mode, Grounding grid of 6 × 6 test can quickly detect the grounding grid corrosion, simulation results show that the method has higher accuracy than support vector machine.

Abstract: The distribution of poles affects the property of the automatic control system. The paper studies how the poles in the left half of s-plane affect the transient performance of the system by Matlab tools and analyzes the reasons for these effects. Discuss the different effects of the closed-loop poles and the open-loop poles to the same automatic control system.

Abstract: Dynamical behaviors of stochastic reaction-diffusion Hopfield neural networks with delays are investigated. By employing Lyapunov method, Hardy-Poincare inequality and linear matrix inequality, some novel criteria on ultimate boundedness and asymptotic stability are obtained. The sufficient criteria depend on the diffusion effects and are independent of the magnitude of the delays. Finally, a numerical example is given to illustrate the correctness and effectiveness of our theoretical results.

Abstract: The problem consists in selection of multicommodity flow routes and channel capacities and the paper presents the linear capacity and heuristic algorithms for multicommodity flow in computer networks engineering to minimize shipping cost subject to the budget constraint

Abstract: This study proposes an adaptive region-growing-based method that efficiently detects remote sensing images. To achieve efficient classification, the pixels in the regions produced by the region-growing procedure are used to classify various objects. An adaptive algorithm based on the proposed efficient classification method can automatically detect the remote images through Wi-Fi. Experiments show that the adaptive region-growing algorithm can achieve smart detection. The proposed method achieves better results than existing methods.

Abstract: Focusing on a nonlinear longitudinal dynamical model for air-breathing hypersonic flight vehicles (AHFV), we propose a state feedback linearized model on a nominal trim condition. To stabilize the flight of an AHFV in the presence of external disturbances, a new H based Linear Quadratic Regulator (LQR) control law with pole placement is designed. Indexes for H performance, quadratic performance and pole placement are considered together. As a result, the robustness of system is improved and the AHFV system is effectively stabilized. Numerical simulation shows that the controller can effectively stabilize the AHFV system with some disturbances and assign the poles into a desired region.

Abstract: The rapid detection of the large complex surface was researched with the development of China's manufacturing industry. A industrial close-range photogrammetry new detection Method was put forward based on the analysis of three-dimensional optical measurement principle. The experiment results verify that the accuracy of the three-dimensional optical measurement system independently developed by Xi'an Jiao Tong University meets the Engineering requirements. The main characteristics of large workpiece can be clearly measured and the detection method can be easily used at the production site.

Abstract: Background: To overcome disadvantages of the older surgical model, we invented a new three-dimensional (3D) correction surgery design after studying computer-aided 3D model analysis. Methods: Three-dimensional reconstruction was carried out for computed tomographic (CT) scans of patients with normal bilateral lower extremities; an anatomical model was established; and the normal values of 3D anatomic parameters of the lower-extremity joints were measured with computer assistance. An osteotomy procedure was simulated using a computer, appropriate osteotomy site, and osteotomy angle, and an osteotomy method was selected. Computer-assisted design (CAD) was used to produce an individualized auxiliary osteotomy template for guiding the osteotomy and an auxiliary correction template for guiding correction surgery. Finally, we accurately performed surgery according to the preoperative design. Results: All surgeries were performed successfully and postoperative x-ray films showed satisfactory deformity correction. Conclusions: Computer-aided lower-extremity joint correction surgery is more accurate and convenient than conventional surgery.

Abstract: In order to improve the accuracy and efficiency of the fault location in grounding grids, a new method combing Extreme Learning Machine (ELM) with neural network was proposed. The method compares the voltages of different node to determine whether the branch is fault or not. The simulation results show that this method can save time and improve accuracy.