Applied Mechanics and Materials Vols. 128-129

Abstract: In the basis of image processing, the tire sorting technology adopts the fusion method of combining undecimated lifting wavelet transform; and fusion rules based on pixels for tires image fusion processing, which obtains ideal fusion results. The experimental results show that this method has effectiveness and superiority for tires image fusion processing in tires sorting control and meets the demand of increasing operation speed in the real-time control system.

Abstract: Firstly, this paper proposed that charging network for Electric Vehicle (EV) should be consisted of the special motorcade charging system and general charging system mainly, and the emergency charging system auxiliary. This paper put forward the suggestions that EV charging network construction should carry on with EV development synchronization, give full play to advantages of dispersion charging, charging avoiding peak load and charge in valley load, instead of laying a large-scale charge-station network. Secondly, this paper discussed the construction and the management of charging network, focused on the network planning, charging standards, and the role of power enterprises. Finally, the pattern of charging operation and the management is chosen, three kinds of patterns are proposed to different periods and users, the centralism charging management pattern, the dispersion charging and centralism maintenance pattern, as well as the battery renting pattern.

Abstract: First of all, with the actual situation of measurement and control technology laboratory in Panzhihua university, this paper put forward a construction idea of LabVIEW-based measurement and control technology virtual laboratory, and construct the basic experiment modules and the comprehensive experiment modules. And then, the paper describes the key technologies of the network virtual laboratory, gives the overall structure design and the website function module design of network virtual laboratory for the measurement and control technology.

Abstract: Automotive airbag assembly process is complex and nonlinear, and one of its characteristics is that the accuracy of making the threshold comparison for fault diagnosis using field multi-sensor measured value is not high,. In this article, adopt self-organizing feature mapping network SOM to realize the fault diagnosis of automotive airbag assembly process, constitute the field function of SOM through wavelet functions, form sub-excitatory neuron to update weights, avoid SOM local optimum, so improve the accuracy of fault diagnosis of automotive airbag assembly process.

Abstract: A adaptive interference cancellation algorithm was proposed in this paper，which was based on NLMS algorithm.The NLMS algorithm was achieved on FPGA chips. This paper described the method of the specific implementation. This method introduces bit-shift in terms of subsection instead of division operation, by which the operation speed of FPGA is improved apparently.By Matlab simulating the functions, and analyzing the PSD curve and the constellation of output signals, the adaptive interference cancellation algorithm system based on NLMS achieved expected effect. The better in-band flatness of the PSD curve and the higher convergence rate on constellation were obtained. Therefore, the NLMS adaptive interference cancellation algorithm is chosen as the design with High Performance-price Ratio.

Abstract: The real-time vehicle classification plays an important role in Intelligent Transportation System (ITS). How to effectively improve the accuracy rate and the speed of the vehicle classification is still a hot research issue, the classification algorithm has to be effective but simple. In this paper, a vehicle detection algorithm based on edge-based background difference and region-based background difference is proposed. This algorithm can extract the moving vehicle completely, eliminate vehicle shadow effectively, and it is still significant despite the variations of illumination and weather conditions. The algorithm is simple with low computation quantity and suitable for real-time system. In the feature extraction process, the feature vector can be obtained in short time. Support vector machine (SVM) is also discussed in the classification process. The experimental result shows that the system can accurately recognize the vehicles.

Abstract: Structural damage is too difficult to identification. In this paper, a new method using grey forecasting model to identification the structural damage with past and present data is proposed. Based on the last few years of modal parameters, structural parameters including stiffness and mass of the structural were further predicted the trend using grey forecasting model. Here proposed large structure systems with natural decay and unnatural decay. Natural decay modal parameter can be get from the grey forecasting model, compare with the modal parameter identify currently, by a set value to analysis structural damage. Experimental results verify the theoretical analysis.

Abstract: It analyzed the substance of parametric design. Nowadays, the CAD technology can not express the product knowledge and design experience. The combination of knowledge-based engineering (KBE) and CAD solved these problem in the filed of molding. UG/KF is a new technology to integrate CAD and KBE. This paper develops the mould parts with UG/KF as an example to explain its application, and point out the developing direction of CAD by analyzing new characteristics of knowledge fusion.

Abstract: This paper takes a certain solid rocket engine as the research object, and studies the optimal measuring techniques of static trust line based on coordinate conversion. A simulation was taken to measure the thrust line of a rocket motor which has concave arc-paraboloid structure. The experiment proved that the technique proposed in this paper provided higher measuring efficiency and better accuracy.

Abstract: The present-day computer power enables (parallel to tests) the simulation of processes of cars safety assurance by specialized software. This article describes a simulation of car braking and braking distance estimation in different conditions. The simulating model has been made in MATLAB/Simulink. The results of simulation give the braking distances, which are necessary for safety cars distance estimation for different road surfaces, cars speeds and other conditions.