Papers by Author: Xiao Dong Wang

Abstract: For the complex terrain, in long-distance slurry pipeline, the core equipment of the running pipeline - valve monitoring is particularly important. This paper based on the actual running conditions of Yunnan Dahongshan pipeline, developed an intelligent valve control system. Valve monitoring and management can be seen in this system, which combines software programming, measurement technology, communication networks, as well as order management, fault management, spare parts management, query statistics. Getting running parameters rely on the monitoring system, and then for the mathematical model of solid traffic in slurry pipeline transportation, the slurry weight can be measured. The system achieved valve monitoring and management very well, improving the long-distance slurry pipeline running reliability.

Abstract: The mechanism model needs to assume a lot of prerequisites, but it is lack of these conditions in the solid-liquid two-phase flow in long-distance pipeline, therefore there will be a deviation between the friction drag loss of mechanism model and the actual value. This paper adopted the least square support vector machine (LS-SVM) to fix the value of the mechanism model, and increase the prediction accuracy. Meanwhile, for improving real-time online LS-SVM performance, introducing the local LS-SVM. The experiment result shows, LS-SVM and local LS-SVM greatly improved the forecast accuracy, compared with the mechanism model correction.

Abstract: Designed and implemented acoustic emission signal acquisition system core with microprocessor STM32F103RB. Acquisition system included high sensitivity acoustic emission sensors: PXR20; signal conditioning for acoustic emission, used high-speed ADC AD9225 for A/D conversion; used FIFO module for data buffer; used USB to serial port technology for data communications and transmissions. Central control unit design included gain control of amplifier circuit, clock control of external AD-chip and data cache chip, data acquisition port control, data output port control. Experimental results show that the system implements a multi-channel, parallel, high-precision acquisition and transmission for acoustic emission data.