Advanced Materials Research Vols. 889-890

Abstract: In order to improve the accuracy and the convergence rate of distributed consensus under quantized communication, in the paper, based on adaptive quantization scheme, we propose the pseudo two-hop distributed consensus algorithm. By analyses and simulations, Results show that the pseudo two-hop distributed consensus algorithm based on adaptive quantization can reach an average consensus, and its convergence rate is higher than that of the first-order adaptive quantized distributed consensus algorithm, moreover, the mean square errors are smaller within the finite steps.

Abstract: The cepstrum edit scheme for the vibration feature extraction of the faulty rolling element bearing (REB) is studied in this paper. By combined the time synchronous average (TSA) and the real cepstrum to localize and edit the cepstral lines of the original vibration, the unwanted discrete frequency components can be removed. Then, a corresponding inverse procedure is designed, in which the edited cepstrum and the original phase spectrum are employed to reconstruct the edited vibration for the REB feature extraction. Simulation verified the scheme positively.

Abstract: This paper presents a remote security system based on the Internet of things. The system uses S3C2440 as the control core, Linux operating system as the software platform, combined with remote security system construction of GPRS communication technology. The system introduces V4L2 camera video capture process based on Linux operating system, the GPRS module alarm information sending and receiving process, and the project of Android platform video monitoring software. At last, experiments show the system can monitor designated area. When meeting a critical situation,it will automatically alarm. It is of far-reaching significance.

Abstract: The Auto-Proving-Ground test cant reveal all problems of testing vehicles. Establishing a more suitable and accurate test for reliability index of auto-mobiles has become an important issue. The operating states data of coaches that running from Hefei to Zhengzhou has been collected in this paper, principal component analysis, and clustering analysis were then used to obtain the main factors that necessary for researching intercity bus reliability. The road condition, the ratio of idling, acceleration, deceleration and constant velocity has been determined based on the real drive condition. The acceleration in the y direction also has been taken into consideration when the bus steer. Based on the factors we improve the effectiveness and rationality of tests, which is in favor of building the system of rapid detection and evaluation for vehicles reliability.

Abstract: Aiming at the requirements of fault diagnosis for heavy mills, the architecture of remote fault diagnosis system based on EMD and SVM for heavy mills is built. Then the function of 3 main subsystems in the prototype system is introduced: Pattern recognition subsystem is used to evaluate healthy state of equipment with SVM classification algorithm; Fault location subsystem is used to fix fault position in the equipment with the method of Empirical Mode Decomposition and Hilbert-Huang Transform; Remaining life prediction subsystem is used to make a prediction of equipments health trends with SVM regression algorithm. At last, a remote fault diagnosis system based on website is established.

Abstract: BCI technology as a widely used technique is gradually into daily life. Based on the study of this technique and taking advantage of MindSet extraction equipment of EEG which is available in the market, we design a portable sleep apnea monitoring tools which use MindSet as a platform, which has comfortable pillow structure. Monitoring equipment described in the text achieves real-time monitoring for apnea, also has an alarm function. Apnea syndrome on self-monitoring and alarm has better effects.

Abstract: For the question of surface density controlled by manual measurement in production process and low quality and inefficiency, we designed the on-line monitoring and control system based on capacitive sensor. The principle is capacitive sensor can convert the surface density variation to the capacitance variation, after operational amplifier, rectifier circuit and filter circuit we can get the voltage signal related to surface density of lithium battery pole piece. The voltage signal through the A/D input module into the PLC for data processing, according to the results we can adjust the coat blade degree real-time. This will achieve the purpose of surface density uniformity. Using this system to replace traditional methods, the lithium battery pole piece surface density can be measured in intelligent, controlled in real-time and non-contact mode with high precision. And this system can improve the quality of lithium battery and the production efficiency, also with great reliability and feasibility.

Abstract: This paper proposed the measuring device for the casting powder crystallization and the crystalline proportion test by the double thermocouple. The two different dual platinum-rhodium thermocouple wires are acted as heating element and temperature measurer at the same time, so that, the temperature of both wires apart can be controlled accurately. Adjusting the two wires distance discretionarily, the crystalline state can be observed under the different range of temperature of flux film on the both sides. The fast temperature raising and high efficiency of metering technology is designed for the measurement device and achieved great sense to research the casting powder characters in the crystallizer.

Abstract: Most of metallurgical performance testing devices use small high-temperature furnace to simulate physical environment for the sample testing. Since the controlled object has the dynamic characteristics of nonlinear, time-varying, large delay and large inertia during heating process, it is difficult to establish an accurate models to control thermal processes and optimize. This paper presents an adaptive neural fuzzy modeling approach based on T-S model for the heating process. Using the fuzzy system structure identification and parameter identification, the more accurate nonlinear model can be obtained. Duo to the fuzzy neural network has the capability of autonomous, quickly and effectively converging to the required relations of the input and output, the modeling accuracy has been improved. The simulation results demonstrate the effectiveness of the proposed algorithm, and the method can provide a reference for obtaining accurate nonlinear model.

Abstract: It uses MSP430F2274, the ultra low power microcontroller, as the control core of short circuit detection device, through the accurate measurement of low voltage circuit breaker load side of the main wiring of insulation resistance value and the interphase insulation resistance value, outputting high voltage startup sound and light alarm device, and then accomplish the open circuit fault detection. Testing power supply is the use of magnetic coupling resonance principle, from the main power grid electrical insulation for short circuit detection device. The device has the advantages of low cost, small volume, good safety, good detection effect, and can be embedded in use in low voltage circuit breaker.