Applied Mechanics and Materials Vols. 380-384

Abstract: The ZigBee which was adopted low-power wireless communication technology was used to design a multi-parameters monitoring system according to agricultural monitoring characteristics. Following the design concepts of generalization and modularization, the sensors and functional modules could be combined configuration, thus the system was versatility, flexible and convenient. Low-power communication protocol and solar charging technology were adopted to extend the life of power supply. This system could be widely used for automatic monitoring in facility agriculture and other agricultural places.

Abstract: The viewpoint of reconfiguration of remote cooperative fault diagnosis system based on IETM was given according to the reconfigurable idea of IETM. The concept of reconfigurable remote cooperative fault diagnosis system was defined, and its connotation was analyzed. Then the realizing approach was discussed. Through bringing into grid technology, the architecture of reconfigurable remote cooperative fault diagnosis system was constructed, and finally, its running process was described.

Abstract: Position Sensitive Detector (PSD) is a new type of photoelectric position sensor. Compared with traditional CCD, PSD has high position resolution, simple circuit and fast response. Operational principle of PSD and how it can be used in vibration system are firstly shown in this paper. Based on the MCU, a vibration measurement system using a BOS-PSD0220 type sensor is designed. The system is then experimentally measured at the most sensitive area of PSD. The result is compared with data calculated by MATLABLE, which demonstrates PSD is a good choice for vibration measurement.

Abstract: We make an approach to the intelligent diagnosis and calculation of electrical insulation fault for smart power grid. By the electric field calculation method and the online detecting method, the insulation diagnosis model is presented in this paper. This monitoring system can monitor the leakage current of outdoor insulators effectively, and this system can make use of modern computers and communication technology to deal with these real time signals. Therefore, we use the results to increase the ability and the condition of working for the smart grids.

Abstract: As an application of artificial intelligence technique in the field of analog circuit fault diagnosis, intelligent fault diagnosis system based on artificial neural network achieved certain success in practice. However, because neural network need for normalization preprocessing of sample before training, prolong the time of fault diagnosis, which is limited in the actual use of the diagnosis system. And the characteristics of LVQ(learning vector quantization) network is not need for normalization and other preprocessing of training samples, therefore, reducing the training time of neural networks. In this paper, the structure and training methods of the LVQ neural network are presented and the specific implementation of the diagnosis system is illustrated with examples. Simulation results show that the mathematical model has a better diagnostic effect. Compared with other methods, this diagnostic method, with the broad application prospect of its structure and method, is simple and practical and so on.

Abstract: An online detecting system is developed to check the function of oil control valve. This system consists of hydraulic detecting platform, signal collecting, signal processing and upper computer. It uses a domestic controller as the main control unit and the control program is developed. The signal conditioning board and the software of upper computer within LabVIEW environment are developed. By using this system, the signals of all sensors can be collected, conditioned, displayed and recorded quickly. The application shows that this system has been proved with the characteristics of high speed, high automation and detection precision.

Abstract: Parachute system is a significant composing part of aircraft, and the swing angle is one of system security targets. To the complicated measurement problem of parachute angle in wind tunnel test, this paper describes a test method based on stereo vision system, the system is mainly composed of two CCD cameras, image acquisition card and computer. It can get 3D coordinates by stereo vision calibration and digital image processing technology, and calculate the parachute swing angle by geometry relationship. The result shows that the method succeeds, and gets the vertical and horizontal angles which are projected onto two orthogonal planes. The method has the advantage of simple system composing and good compatibility, displays much better application value.

Abstract: This paper presents a selective SVM ensemble based on clustering analysis to localize the faults of analogue circuits with small samples. The method overcomes disadvantages of single SVM and greatly improves the generation ability for problems with small samples. In the end of paper, simulation experiments on a CTSV filter circuit are carried out. Experimental results demonstrate that selective SVM ensemble based on clustering algorithm is a more effective method to fault diagnosis with small samples than single SVM.

Abstract: The detection system of Powder chamber volume with artillery in the paper of d ata acquisition, storage, processing and software design, in full consideration of the whole test system after the possible problems in the process of detection, the MCS - 51 MCU assembly language programming and modular structure design method achieve the powder chamber volume detecting system of software design.

Abstract: By using active method of injecting test flow data into the network the parameters of throughput, bandwidth, delay jitter, packet loss can be gained, UDP network performance of the single network segment can be tested. According to the measurement results, the network should be properly distributed for the access connection number and allocation of bandwidth for each client to improve the network performance.