Applied Mechanics and Materials Vol. 441

Abstract: In view of the process of sampling switch judgment problem of alternating sampling two furnaces oxygen content with an oxygen analyzer, this paper provides an indirect method to monitor oxygen content of furnace sampling switch process based on the time and data. The experimental results show that the method can solve the end decision problem in the process of sampling switch very well. At present, the method has been applied to concrete in practical engineering, having a good effect.

Abstract: The problems of fluxion, heat transfer and combustion are frequently met in practical project. In order to solve the problem of complicated measurement and high cost, combined the advantage of FLUENT and KINGVIEW, according to OPC, JOURNAL, and ACTIVEX, the interface software was developed, the software can realize the online monitoring for temperature field.

Abstract: Online fault diagnosis for the train axle box bearings is a wide and important study topic since it plays a critical role in train safety. Due to the vibration signals nonlinear and non-stationary characteristics, accuracies of the methods such as neural network and hierarchical clustering are less than 90% which are not satisfying. In this paper, kernel principal component analysis (KPCA), a nonlinear process technique, was to tackle each signals 18 feature parameters for extracting the main features to reflect the signal characteristics. Then, in fault pattern recognition, support vector machine (SVM) based on genetic algorithm (GA) was used to identify the current fault type of the bearings, including normal, outer ring fault, inner ring fault and rolling element fault. The results show that the prediction accuracy of GA-SVM method reaches to 96.33%, which is quite effective.

Abstract: Temperature is an important physical characteristic parameter that features the patients physical condition in hospital, and it is a kind of clinical vital signs.This paper presents a kind of multiuser temperature real-time monitoring system; it can realize multiuser fast measure of patients temperature, and draw the patients temperature curves under the guidance of the monitoring system. The system would alarm timely when the patient's temperature is abnormal.

Abstract: Referring to the requirements of national standards in residual voltage test of electrical products quality inspection, the methods, requirements and calibrations of residual voltage test were discussed. Mainly the problems of affecting accuracy at the time of the test voltage were analyzed, and the specific solutions were put forward.

Abstract: We established a deep-sea internal wave detection model based on the nonlinear Schrödinger (NLS) equation and Synthetic Aperture Radar (SAR) images, and applied the model to the Malin Shelf edge, located at UK Continental Shelf, west of Scotland, to retrieve internal wave parameters. We selected the SAR images of internal waves at Malin Shelf edge, combined NLS equation with the action spectrum balance equation and Bragg scattering model, retrieved the amplitudes and phase velocities of the internal waves at Malin Shelf edge, and compared these data with those retrieved by the model based on KdV equation and those observed at the same period. The results show that the error between the data retrieved by our model and the measured data is very small, while the difference between the data retrieved by the detection model based on KdV equation and the measured data is significant. In addition, the phase velocities, calculated in our model and the model based on KdV equation, are both close to the measured data. Consequently, our model is valid and more accurate for the parameter inversion of internal waves in deep-sea area.

Abstract: In the application of magnetic flux leakage (MFL) nondestructive testing, the signal will be disturbed by varying noises. It seriously affects the accuracy of detection judgment result. This paper describes the design of least mean square (LMS) noise cancellation for MFL signal and the implementation based on ARM platform. Two giant magnetoresistive sensors are used to measure the signal, one sensor for MFL signal (with noise) and the other one for the noise signal. They are inputted to the noise cancellation to obtain pure MFL signals. Experimental results show that the LMS noise cancellation significantly improves the signal to noise ratio.

Abstract: Nowadays, in order to secure supply and realize the energy and water saving, the monitoring automation has become a basic need for the city water supply pipe network. A remote wireless monitoring system is proposed for the city water supply pipe network based on Zigbee and GPRS. The Zigbee nodes are mainly used to detect and gather information and data of city water supply pipe network. The GPRS is used to upload information to monitoring center and download orders to coordinators. No wiring necessary, which makes the system very convenient.

Abstract: The image signal of intermittent high energy pulsed droplet transfer are acquired using high-speed camera systems and self-developed high-energy pulsed cold patch machine. Then, the droplet transfer characteristics in high-energy pulsed cold patch process were discussed. The results showed that in the high-energy pulsed cold patch repair process, welding wire and substrate surface were melted by instantaneous high voltage arc and dropwise droplet were formed. And the droplet jitter, roll by gravity and surface tension and then cooled and solidified rapidly, metallurgical fused at the end.

Abstract: The characteristics of computer virus runtime behavior can be found by dynamic monitoring technology which deals with the obfuscated or packed computer virus. Virtual technology can provides safety monitoring environment for software, therefore the especially virtual environment is scarce to design for virus monitoring analysis. In this paper, a virtual computer virus monitoring is introduced based on the secondary development of Xen. The scheme can provide a more comprehensive and security computer virus monitoring on the basis of the virtual hardware.