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Pu G.Y.,Yunnan Da Hong Shan Pipeline Co. | Pu G.Y.,Engineering Research Center for Mineral Pipeline Transportation | Bu Y.X.,Kunming University of Science and Technology | Bu Y.X.,Engineering Research Center for Mineral Pipeline Transportation | And 4 more authors.
Applied Mechanics and Materials | Year: 2014

In generally, there are multiple factories. According to mining areas, it supplies different quality iron ore concentrate. And according to the unique requirements of owners, different grades concentrate cannot be confused. Therefore, the grade of slurry pipeline transportation is needed to be used. When in the study of grade transmission, we must focus on Hydraulic characteristics of solid-liquid two-phase for different quality of iron ore concentrate. Slurry concentration and Critical velocity of flow is especially important. Research shows that the deposition rate of laminar or turbulent transition velocity is higher than the occasion when the slurry has concentration, so the minimum operating speed is controlled by sedimentation; the concentration lower limit is 62%. If the concentration is over 68%, the yield stress of slurry will increase, and the pipeline pressure will drop, which is very sensitive to slight changes in concentration. Therefore, the solid weight concentration range is 62% to 68%,as the selection range of design. © (2014) Trans Tech Publications, Switzerland. Source


Pan C.L.,Yunnan Da Hong Shan Pipeline Co. | Pan C.L.,Engineering Research Center for Mineral Pipeline Transportation | Yang Y.,Kunming University of Science and Technology | Yang Y.,Engineering Research Center for Mineral Pipeline Transportation | And 4 more authors.
Applied Mechanics and Materials | Year: 2014

Due to the existence of different grades of mineral in the mining area, the technology of slurry pipeline grade transmission is developing. However, the process of grade transmission will appear the phenomenon that the slurry of different grades are mixed. Therefore, before cutting into different grade slurry, we added special medium in pipeline to separate different grades of slurry. We worked out slurry pipeline transport model by mathematical modeling and building slurry pipeline transport real-time location tracking system. The system was able to distinguish different grades of slurry by adding special medium and tracking the actual location of the head and tail of slurry, realizing real-time position monitoring of different grade slurry. © (2014) Trans Tech Publications, Switzerland. Source


Ma J.,Kunming University of Science and Technology | Wu J.,Kunming University of Science and Technology | Wu J.,Engineering Research Center for Mineral Pipeline Transportation | Yuan X.,Kunming University of Science and Technology
International Journal of Control and Automation | Year: 2013

The rolling bearing vibration is a complex, non-stationary and dynamic process. The vibration signal can not be described through a fixed time or frequency function. This increases the difficulty of fault diagnosis. Therefore, this paper proposed a rolling bearing fault diagnosis method based on local mean decomposition (LMD) and time-frequency analysis. Firstly, we need to draw time-domain waveform and power spectrum of vibration signal in this method. Secondly, we can gain the energy density distribution of signal using directly time-frequency analysis of signal, the time-frequency analysis of intrinsic mode function (IMF) and the time-frequency analysis of production function (PF). We gain the IMF by decomposing the original signal by the ensemble empirical mode decomposition (EEMD).and after the original signal is decomposed by the local mean decomposition,we gain the PF .Finally, according to the energy density distribution of signal, diagnose the fault of the rolling bearing. The simulation results show that we can gain the clearer the energy density distribution using the time-frequency of PF of signal to diagnose fault and improve the reliability of the fault diagnosis. Source


Liu Y.,Kunming University of Science and Technology | Fan Y.,Kunming University of Science and Technology | Fan Y.,Engineering Research Center for Mineral Pipeline Transportation
Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015 | Year: 2015

For some current problems in mineral production, such as measuring difficulty and low accuracy rate, how to do on the mineral yield accurate and convenient measurement is very important. This paper presents a remote mineral output monitoring system based on GPRS. The overall structure of the system includes monitoring terminal, GPRS wireless transmission network and monitoring service center three parts. After the mineral production was weighted by weighing equipment, the obtained data information will transmit to the microprocessor through RS232. After STM32 on the data processor, storage, and then via RS485 bus to send data to GPRS communication module, and then the data is sent over the Internet to the server. Conversely The client can access the server to control the monitoring of mineral output data, to achieve the real-time and accurate monitoring of mineral production. © 2015 IEEE. Source


Zhang Z.,Kunming University of Science and Technology | Wu J.,Kunming University of Science and Technology | Wu J.,Engineering Research Center for Mineral Pipeline Transportation | Ma J.,Kunming University of Science and Technology | And 2 more authors.
Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) | Year: 2016

In order to extract the fault features of bearing slight fault, a new fault diagnosis method for rolling bearing based on chaos and fractal theory was put forward. Firstly, the largest lyapunov exponent of rolling bearing vibration signal was calculated to identify whether the bearing running gets in chaotic or not. Then, the correlation dimension and box dimension of the chaotic signal were calculated as the state character for fault diagnosis. When the correlation dimension can't obviously separate bearing faults, the box dimension is used to combine with it for fault diagnosis. Finally, the inner ring, outer ring and rolling element signal of bearing in slight fault, serious fault and the normal state signal in total 7 kinds of conditions were selected to do the experiments. The experimental results show that the method can accurately extract fault feature and complete slight fault diagnosis of rolling bearing. The proposed method provides a new effective approach to the fault diagnosis of rolling bearing. © 2016, Central South University of Technology. All right reserved. Source

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