Applied Mechanics and Materials Vols. 121-126

Abstract: The algorithms and the applications of UKF filtering of UAV MEMS Gyro based on time-series model are presented in this paper. First Gyro output signals are preprocessed and modeled by time-series analysis theory, and then use UKF filtering method to compensating error based on the time-series model. Examples with actual experiment demonstrate that the method has apparent superiority. The simulation result shows that, both in static and dynamic cases, after eliminate the precision error MEMS gyro accuracy can achieve the miniature UAV standards.

Abstract: In order to overcome the contradiction of the CMA with a constant step-size between the convergence rate and the residual mean square error(MSE), on the basis of analyzing the idea of variable step-size, the feature of Support Vector Machine(SVM) and Wavelet Transform, a Variable step-size Wavelet transform Support vector machine Constant Modulus blind equalization Algorithm (VWSCMA) is proposed. In the proposed algorithm, the variable step-size is used to solve the contradiction between the convergence rate and the residual MSE, SVM is employed to optimize the weight vector of equalizer, and wavelet transform is used to reduce the autocorrelation of input signals of equalizer. Simulation results show that the proposed algorithm can effectively overcome the contradiction between the convergence rate and the residual error and has good equalization performance.

Abstract: Paper unavailable due to copyright issues.

Abstract: A misalignment rotor-bearing systems is studied as an object. Comparing two kinds of vibration characteristics of 0 torque excitation and linear torque excitation. The experimental data are analyzed by FFT and wavelet. Conclusion is obtained. Certain torque excitation can control oil whirl to a certain extent. On the other hand, linear torque excitation can increase degree of misalignment.

Abstract: There are many researches about quality model for general system or information system. That is, it has necessary to know what the important criterion to system benefit is. However, it has lack to research of quality model in the area of embedded system. This article aimed to address quality model for embedded system. For this purpose, we construct each criteria from exist quality model, DeLone and McLean quality model for success information system. And we also depicted quality model network to consider the relation with influence between them.

Abstract: The method to analysis the strength of planetary trains’ carriers of EPB(earth pressure balance) shield machine is presented in this paper. The structure of the shield machine trains is analyzed and the 3-D solid model of the carrier is built with Pro/E. After the load on the carrier has been dealt with, the strength of carrier is calculated by means of finite element method. The results via ANSYS show that the max stress and strain on the carriers are increasing as the increasing load on it. The max stress is lying on the joint point of the carrier and planetary gear shaft because of the bending deformation of the shaft.

Abstract: In this paper, the effect of low frequency electromagnetic field on the as-cast structure of Cu-10%Sn-2%Zn alloys and inverse segregation of Sn had been investigated. It is found that macrostructure and δ phase was refined, columnar-to-equiaxed transition was promoted, and inverse segregation of Sn was inhibited by applying electromagnetic field during the solidification of Cu-10%Sn-2%Zn alloys. The width of eutectoid structure (α-Cu+δ) becomes smaller, and the morphology of eutectoid δ changes from coarse acicular and massive shape to fine dotlike shape. The above mentioned effects become more obvious with the increasing of current intensity.

Abstract: On the basis of calculation of velocity and acceleration in multi-rigid body dynamics,velocity and acceleration formulas of wheel center are established when dynamic equations of vehicle are built. Adams software is used to test correction of the method ,demonstrating high accuracy of the way， which provide theoretical basis for dynamics model of vehicle.

Abstract: As a new research area of network security, network security situation evaluation is significant for achieving large-scale network security monitoring. In this paper, the artificial immune technology is applied to the study of situation evaluation for network security. Mathematical expressions of immune elements such as antibodies, antigens are established, and basic immune mechanism such as self-tolerance, clone selection, immune memory are achieved. According to the relationships between concentration changes of antibodies and attack intensity of pathogens in biological immune system, a situation evaluation model for network security is proposed. In addition, this paper adopts the uncertainty reasoning method in the cloud theory to make multi-granularity analysis for network security situation. By modeling the security situation indicator, and using cloud rules generator and reverse cloud generator, we can get qualitative results of hosts and network's security situation. Theoretical analysis and experimental results show that the model is effective to evaluate situation for network security with advantages of real-time, adaptability and high accuracy.

Abstract: To improve the performance of current solder joint inspection method, an efficient method based on statistical learning is proposed in this paper. In the method, the solder was divided into several sub-regions to determine the defect type. To resolve imbalance problem, an improved over-sampling algorithm was proposed in which the synthetics samples are generated between the boundary samples and their neighbors. AdaBoost was used for feature selection and classification for every sub-region. Experiments results showed that the defects of solder joints can be identified properly using the proposed algorithm.