Advanced Materials Research Vols. 694-697

Abstract: In order to meet the high precision calibration requirements of precision angular distance and high magnitude to the optical navigation sensor, A new style of high precision star simulator with large caliber, and long-focus, is presented. And then the main compositions of this simulator are designed in detail referring to the simulator, the steering mirror, the standard simulated targets and so on. According to the simulator characteristics of large size lens and multi lens, the structural of lens cone uses the tube sleeve and inner sleeves fixed together means. To eliminate the mirror deformation, the design plan based on the tiny stress is applied in steering mirror. In order to achieve a high magnitude, the light targets are simulated by optical transmission from OLED to high precision drone with fibers. Its degree ≤1〞,simulated magnitude≥5 that meet calibration requirements of the current high-precision optical navigation sensor.

Abstract: Turbine flowmeter is significant, but the change of viscosity has a remarkable impact on the accuracy of the turbine flowmeter. Aiming at this problem, the experiment was carried out on the viscosity variable oil flow facility. New software compensation method for viscosity was put forward with the developed intelligent turbine secondary instrument. Firstly the viscosity was compensated, viscosity was regarded as independent variable, average meter factor was regarded as dependent variable, the polynomial was fitted; then the flow rate was compensated, flow rate was regarded as independent variable, the average offset between meter factor got by viscosity compensation and experiment was regarded as dependent variable. The polynomial was fitted, the sum of results of two functions was regarded as the final meter factor. The test demonstrated: with the software compensation the accuracy of intelligent turbine flowmeter changed from 8.0% to better than 2.3%.

Abstract: A kind of digital compass based on magnetic resistance sensor was designed. The principle of the course angle measurement based on magnetic resistance sensor was analyzed, and it elaborates the scheme of course angle system design and implementation. FPGA was chosen as processor, and the embedded kernel was built up based on SOPC. The course angle measurement and digital display were realized. The error compensation was used in this system. The error analysis and contrast were given. This kind of course angle indicator is small volume and high precision. It can be applied to different carrier, and has high universality and practical value.

Abstract: The finite-element simulation of the intra-body communication used in wireless body area networks has been introduced. Firstly, a novel finite-element method for modeling the whole human body is proposed, while a FE model of the whole human body used for IBC simulation was developed. Secondly, the simulations of the galvanic coupling IBC with the different signal transmission paths were implemented. Finally, the feasibility of the proposed method was verified by using the in vivo measurements. Our results indicate that the proposed method will offer the significant advantages in theoretical analysis and the application of the intra-body communication used in wireless body area networks.

Abstract: This paper presents the method to generate frequency modulated continuous wave (FMCW) interrogation signal by using a phase lock loop (PLL) transmitter and NI ELVIS development board. The FMCW interrogation signal can be used for measuring temperature from a surface acoustic wave (SAW) sensor. The development of the PLL transmitter is discussed. The Arbitrary Waveform Generator of NI ELVIS is utilized for generating a linear frequency sweep reference signal, which will be used as a stable input signal for the transmitter. A MATLAB simulation using a pulse compression technique is performed to investigate the relationship between the FMCW bandwidth and range resolution.

Abstract: This article discusses one-dimensional Kalman filter algorithm using FPGA hardware IP core implementation process. First of all, to program the FPGA matrix operations, implementation of double precision floating point. Then the Kalman filter algorithm programmed in MATLAB, to verify the correctness of the algorithm thinking. Finally the MATLAB language programming algorithm is converted into VHDL language. And call 64 a double precision floating point data algorithm realizes the design of 1-D Kalman filtration algorithm IP core, which make the Kalman filter meet the high precision as well as high speed to complete complex algorithm.

Abstract: The technology of damage detection by the piezoelectric impedance has been researched extensively, and in which the static load is usually used. To further expand the research of range, the dynamic signal excitation beam is used. A piezoelectric coupling beam model was established to deduce formulas of beam admittance. The resonance frequency of piezoelectric coupling beam and the dynamic signal excitation beam were studied in experiment. In the low frequency non-resonant frequency region, the experiment results are consistent with the theory. Research shows resonant frequency of coupling beam is equal to its natural frequency.

Abstract: At first this paper described the cavity pressure monitoring technology definition and work principle. Then showed that made use of monitoring the cavity pressure curve and study melt flow balance by specific example. The use of cavity pressure curve could be quickly and accurately get the best process parameters, so change the way of obtaining process parameters optimization from the "experience" basis to "scientific" basis. The article concluded it could understand deeply and grasp the relationship among the three proposals of the cavity pressure curve, process parameters and product quality.

Abstract: SOM neural network is of strong non-linearity mapping capacity and flexible network structure. Use this algorithm for training, form a scientific and rational classification of training samples, which draw the corresponding cause of the malfunction. Use a diesel engine system fault diagnosis model is established and the related parameters as the training sample, SOM network input layer neuron number parameter dimension 8, competition with 10 ×10 layer structure to establish the diagnosis model, through the simulation test, verify the validity and practicability of SOM neural network in fault diagnosis

Abstract: The reliability of busway in high current state is closely related to its temperature. So effectively monitoring temperature is the key issue to ensure the busway work safely. Because of the constraints such as high voltage and strong electromagnetic fields, traditional temperature measurement system can not meet the requirements. A distributed busway temperature monitoring system is designed in this paper based on the temperature effect of fiber Raman scattering signal. Arithmetic average, wavelet noise reduction and low-pass filter combination of data processing is used to overcome the very low SNR. Experiments show that the system can measure the temperature of 1km busway effectively. Temperature resolution can achieve 3°C.