Applied Mechanics and Materials Vols. 121-126

Abstract: Based on the powerful function of MATLAB software in curve fitting of data, this paper introduces the commonly used method of MATLAB in curve fitting, and uses the polynomial fitting function provided by MATLAB to curve fitting the experimental data of the pressure drop determination of the tube side and shell side of the heat exchanger.The results show that it is much easier and more accurate than traditional ways to curve fitting using the MATLAB.

Abstract: Complicated structure of complex system makes it difficult to analyze and evaluate its reliability. Here we propose a method to calculate the importance of complex system components using a technique of Bernoulli State Variables (BSV). The models of three reliability importance, which describe the importance of each component, are proposed. Our studies show the method is suitable for complex artificial systems, and we proved the method can be used for maintenance decision and failure diagnosis though an example.

Abstract: As most Mutual Information method is limited to the correlation analysis between discrete variables in majority and tendency of choosing the characteristic variables with multi-values so far, in this paper we propose a new approach based on Mutual Information to measure the correlation of discrete variables and continuous variables. Then we take the fire control system of aircraft for example to calculate the correlation between fault types and monitor data indexes, and finally find the fault symptom classes.

Abstract: With three-dimensional finite element method, the crosshead of plunger pump was analyzed. The distribution law of stress at the crosshead was obtained and the stress concentration coefficient of high stress field was calculated. The life of crosshead was estimated by S-N curve of crosshead and the result of finite element analysis, which provides basis of estimating life of the crosshead.

Abstract: Strip-based sensor networks consist of a large amount of sensor nodes, which is characterized by multihop communication patterns. The nodes closer to the base station are required to forward more data than the nodes farther from the base station, leading to the problem of the energy hole and leaving the the areas of the network unmonitored. This paper analyzes energy consumption model of the uniform deployment and the nonuniform deployment and proves that there is an optimal transmission distance for these deployment strategies. The analysis shows clearly that the nonuniform deployment is more energy effect and more energy balance, which extend the network lifetime compared with the uniform deployment strategy.

Abstract: In the development of software project, requirements stability is an important factor which relates to success or failure of software project. This paper made a detailed analysis of the factors of affecting the requirements stability, proposed the control method of the requirements change, and has conducted the research on the measure of the requirements stability for achieving the purpose to grasp the degree of the requirements change effectively, minimize the defects and risks caused by it, and ensure the successful completion of software project according to a predetermined cost, schedule, and quality.

Abstract: When image digitalization device translate fastener into fastener image, the fastener image is always skewed to some extent, which will result in failure of the subsequent processing. The correction of the fastener image is the important step in its automatic recognition. In order to overcome the heavy computing burdens of hough transform, a new usage of hough transform is introduced in this paper. The algorithm works by first doing certain process on input image, the close edge of the image is gotten. Then a two-stage Hough transform algorithm is applied to the image to calculate the angle of the main edge line. This angle is thought as the declining angle of the fastener image. Lastly, the orientated image is rectified using rotation method. This algorithm is validated through experimental results.

Abstract: This paper design an intelligent photovoltaic cell test system. The high performance dual-core 16bits SPCE061A microprocessors are used as control and data processing center. The powerful data operation ability of SPCE061A makes it to carry out software filter for measured data and enhances testing precision. the experiments demonstrated the test system can measure the characteristic parameters of photovoltaic cells: open voltage, current, the fill factor and photoelectric conversion efficiency, draw photovoltaic cells I-V curve, find the best working points , and also have the characteristics of miniaturization and intelligent.

Abstract: This paper describes that: PLC applications are subject to threat of various interference in a complex industrial environment, It seriously affected the normal safe operation of the PLC. In the design of application system, We should take appropriate measures of reliability to eliminate or reduce effect of disturbance in order to ensure the normal operation of the system. Paper discussed specific measures to suppress interference from the power supply, inductive load handling, reasonable layout, grounding, input and output circuits, equipment selection and other aspects.

Abstract: The chromatic aberration estimations of touch panel (TP) film by using neural networks are presented in this paper. The neural networks with error back-propagation (BP) learning algorithm were used to catch the complex relationship between the chromatic aberration, i.e., L.A.B. values, and the relative parameters of TP decoration film. An artificial intelligent (AI) estimator based on neural model for the estimation of physical property of TP film is expected to be developed. From the simulation results shown, the estimations of chromatic aberration of TP film are very accurate. In other words, such an AI estimator is quite promising and potential in commercial using.