Applied Mechanics and Materials Vols. 241-244

Abstract: In this paper, based on the FPGA and with a PAL decoder chip, LVDS coding chip and large capacity SRAM, the design and implementation of a PAL system for analog signals to the LVDS conversion of the video signal interface board. First of all, convert the analog signal of PAL to RGB565 digital video signal, and transform the interlaced scan into progressive scan. Then, through the frame rate conversion, resolution expansion etc. algorithm method to handle. Finally, to achieve the interlaced scanning, a resolution of 720×576, 25Hz PAL analog video signal, is converted to a progressive scan, a resolution of 1024×768, 60Hz LVDS video signal transmission. After the measurement, the resolution and frame rate of the video signal conversion interface board are all meet the design requirements. It has been verified the effectiveness of scheme.

Abstract: A system of miniaturized lithium battery electrochemical impedance spectroscopy (EIS) measurement is designed with high precision impedance converter chip AD5933 as its core. The measurement range of the system is from 0.010Hz to 100 KHz. Meanwhile, by using a high-level programming language of C#, an interface is developed which can real-time graphic display of EIS information. Through measurement and analysis of two types of impedance, the results show that detection precision of the system is less than 3.5%. Finally, amplitude-frequency response curves and Nyquist plots of HL-18650 M lithium battery at different state of charge (SOC) levels are measured. Compared with lithium battery EIS measurement system by traditional division, this system has the outstanding advantages of small size, high level of integration, low cost, simple operation and high precision. It is helpful to the mass production and application of lithium battery EIS measurement system.

Abstract: A data acquisition platform for vehicle test is presented by combining virtual instrumentation technology with graphical programming environment of LabVIEW. Multiple modular instrumentations are employed for capturing different kinds of data from electronic transducers and CAN bus in synchronization. LabVIEW based software adopts QSM-PC (Queued State Machine Producer Consumer) architecture, which can perform functions of multi-channel, real-time data acquisition, processing, storage, and readback. The presented platform, taking advantages of high integratability and great scalability, is verified by real-vehicle experiments.

Abstract: This paper introduces a technique based on image processing method of non-contact measurement software system; the main process is based on the digital camera image enhancement processing and boundary extraction, As a proportion of system calibration are based on parameters, measurement of circumference of a part. The measurement accuracy accords with the actual production requirement, which proves the feasibility of video precision measurement system.

Abstract: Aiming at the shortcoming of commonly used assessment methods, this paper introduces SVM to information system security assurance capability assessment, builds a corresponding assess model. The simulation result shows that the method can get high assessment accuracy, and can solve the problem of subjective bias brought by experts and the problems of easily trapped into minimum point and over-fitting of neural network, the method is suitable for information system security assurance capability assessment.

Abstract: Based on the saddle-point approximation theory, the reliability sensitivity formula is derived systematically. Then, combining the reliability theory with the sensitivity analysis method, the reliability-based sensitivity of machining precision for ball-end milling cutter is analyzed. Based on the premise that the probability distribution of random parameters is known, firstly, the saddle-point approximation theory is employed to solve the reliability of machining precision for ball-end milling cutter and, as a result, the saddle-point approximation method is proved accurate with higher speed in comparison with the Monte-Carlo method. Secondly, the reliability-based sensitivity is calculated. Finally, the effect of changes in machining parameters on the reliability of machining precision is analyzed.

Abstract: This paper centers on the software reuses of Automatic Test Systems (ATS) and the integration of test and diagnosis to reduce maintenance costs. Based on the research into the basic framework, data services, packages and definition of interfaces, we present an integrated software platform for test and diagnosis system. The platform achieves the separation between the user interface and test logic, the combination of fault modeling and diagnostic reasoning, and the integration of test and diagnosis.

Abstract: Antiaircraft gun automatic is irrotational machine, its motion presents characteristic of stage, so we proposed a fault diagnosis fusion model based on Dempster-Shafer (D-S) evidence theory. At first, feature parameters are extracted from test data of multi-sensor, then, we propose a revised Minkowski distance to create evidences. Finally, we fuse basic belief assignments according to Dempster combination rule, and the analysis result verifies the effectiveness and feasibility of proposed fault diagnosis method.

Abstract: In order to overcome the difficulty of modern radar fault prediction，which induced by the complexity of system compose，fuzziness of configuration connection and incompletely and uncertainty of character parameters，a LM-BP neural networ model is studied based on BP neural networ model and LM optimized algorithm to optimize the network error function and increase the prediction precision of this model. The simulation and analysis are finished using a radar fault prediction example and show validity the of this model.

Abstract: The problem of a scarce consideration of screw pump well pump diagram graphic information affects the diagnosis technology promotion and utilization to some extent. The method, through which the shape features in pump diagram graphic state and parameter information been directly extracted, and then a method based on Mathematical morphology is also presented. Mathematical morphology filters of open-close operator to realize graphics edge texture feature extraction. After feature digitized, using a probabilistic neural network to identify fault. The practical application shows the classification accuracy rate is above 90%.