Volume 41 Issue 11
Turn off MathJax
Article Contents
Abstract
Related Articles
CHEN Jiange. Particle velocity detection technology based on Manhattan distance method[J]. Journal of Mine Automation, 2015, 41(11): 52-55. DOI: 10.13272/j.issn.1671-251x.2015.11.013
Citation: CHEN Jiange. Particle velocity detection technology based on Manhattan distance method[J]. Journal of Mine Automation, 2015, 41(11): 52-55. DOI: 10.13272/j.issn.1671-251x.2015.11.013
shu

Particle velocity detection technology based on Manhattan distance method

  • CCTEG Chongqing Research Institute Co., Ltd., Chongqing 400037, China

More Information
    Graphical Abstract
    • Abstract
  • It was proposed that Manhattan distance method was used for detecting velocity of solid particle in gas-solid two-phase flow, and detection principle was introduced. A delay estimation algorithm was proposed to save data storage space of processor. An experimental system was built and collected signals by oscillograph were analyzed by cross-correlation theory detection method and Manhattan distance method separately. The analysis result shows that Manhattan distance method has better stability and reliability.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]LIU Zhigang. Optimization of buffer compartment structure for belt conveyor based on parabolic drawing of focal distance[J]. Journal of Mine Automation, 2024, 50(S2): 180-182.
    [2]SHI Can, TAN Ziliang, LEI Chao, LI Yunwang, XU Hanfei, HU Qiaowei, JI Zhendong. Optimization of shotcrete manipulator motion trajectory based on AIWCPSO algorithm[J]. Journal of Mine Automation, 2024, 50(12): 155-165. DOI: 10.13272/j.issn.1671-251x.2024080094
    [3]HU Yelin, DENG Xiang, ZHENG Xiaoliang. Design of fuzzy PID controller for mine local ventilator optimized by improved genetic algorithm[J]. Journal of Mine Automation, 2021, 47(9): 38-44.. DOI: 10.13272/j.issn.1671-251x.2021030086
    [4]MEN Fei, JIANG Xi. Improved gray wolf optimization algorithm for solving low-carbon transportation scheduling problem in open-pit mines[J]. Journal of Mine Automation, 2020, 46(12): 90-94. DOI: 10.13272/j.issn.1671-251x.2020070049
    [5]WU Yaqin, LI Huijun, XU Danni. Prediction algorithm of coal and gas outburst based on IPSO-Powell optimized SVM[J]. Journal of Mine Automation, 2020, 46(4): 46-53. DOI: 10.13272/j.issn.1671-251x.2019110018
    [6]SONG Pinggang, JIANG Lang, LI Yunfeng, DUAN Chengting. Research of optimized sorting algorithm of capacitor voltage for MMC[J]. Journal of Mine Automation, 2014, 40(6): 64-67. DOI: 10.13272/j.issn.1671-251x.2014.06.016
    [7]LV Ting-ting, MA Xiao-ping, CHEN Li. Simulation of PID control of jig discharging system optimized by genetic algorithm[J]. Journal of Mine Automation, 2013, 39(1): 67-70.
    [8]WANG Jian-jun, WANG Shi-ying, LEI Meng. Application of Particle Swarm Optimization Algorithm in Prediction of Coal Calorific Value[J]. Journal of Mine Automation, 2012, 38(5): 50-53.
    [9]AN Feng-shua, . Optimization of PID Controller Parameters Based on Modified Particle Swarm Optimization Algorithm[J]. Journal of Mine Automation, 2010, 36(5): 54-57.
    [10]ZHOU Xin, MIAO Chang-yun, LI Yan-feng, WU Zhi-gang. Optimization of CS-ACELP Voice Code Algorithm and Its Implementation on DSP[J]. Journal of Mine Automation, 2009, 35(12): 69-72.

  • Cited by

    Periodical cited type(2)

    1. 翟志波，贾国平，王涛，周鹏鹏，闫汝山，戴玉森. 基于拉普拉斯分布与鲍德温效应的教与学算法及其应用. 计算机集成制造系统. 2023(08): 2611-2621 .
    2. 石治有. 智能化采煤装备的关键技术. 内蒙古煤炭经济. 2021(14): 47-48 .

    Other cited types(1)

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (31) PDF downloads (6) Cited by(3)
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1150344    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return