Volume 42 Issue 8
Turn off MathJax
Article Contents
Abstract
Related Articles
SUN Wei, DIAO Dongmei. Roller fault detection of belt conveyor based on φ-OTDR technology[J]. Journal of Mine Automation, 2016, 42(8): 9-12. DOI: 10.13272/j.issn.1671-251x.2016.08.003
Citation: SUN Wei, DIAO Dongmei. Roller fault detection of belt conveyor based on φ-OTDR technology[J]. Journal of Mine Automation, 2016, 42(8): 9-12. DOI: 10.13272/j.issn.1671-251x.2016.08.003
shu

Roller fault detection of belt conveyor based on φ-OTDR technology

  • 1.

    State Key Laboratory of Gas Disaster Monitoring and Emergency Technology, Chongqing 400037, China

  • 2.

    CCTEG Chongqing Research Institute, Chongqing 400039, China

  • 3.

    Key Laboratory of Optoelectronic T

More Information
    Graphical Abstract
    • Abstract
  • For low correctness and efficiency of existing roller fault detection methods of belt conveyor, a roller fault detection method of belt conveyor based on φOTDR technology was proposed. The method uses backward Rayleigh scattering of coherent pulse light to detect vibration signals of roller, so as to identify and locate fault roller. The experimental and test results show the method can realize roller fault detection of belt conveyor with location error of less than 5 m.
    • FullText(HTML)
    • References (0)
    • Related Articles

  • Related Articles

    [1]FENG Zhanke, QIAN Wang, PENG Jianchuan. Slope stability evaluation based on comprehensive weight and TOPSIS[J]. Journal of Mine Automation, 2023, 49(S1): 133-137.
    [2]CHEN Xiaolin. Staged multi-index comprehensive evaluation method for fire risk of coal working face[J]. Journal of Mine Automation, 2022, 48(7): 90-95, 104. DOI: 10.13272/j.issn.1671-251x.2021120083
    [3]REN Zihui, CHEN Zepeng, WU Xinzhong, QIAN Xiaoyu, LI Ang. Research on health evaluation of mine ventilation system[J]. Journal of Mine Automation, 2021, 47(9): 70-76.. DOI: 10.13272/j.issn.1671-251x.2020120047
    [4]YU Liya, ZHAO Yongfang, ZHANG Lingyun, CHEN Guangbo. Coal and gas outburst risk evaluation based on cloud model and D -S theory[J]. Journal of Mine Automation, 2020, 46(11): 106-112. DOI: 10.13272/j.issn.1671 -251x.2020040029
    [5]WEI Yinshang, JIA Yuquan, WANG Yibo, DONG Dingwen. Research on grading control of mine ventilation system[J]. Journal of Mine Automation, 2018, 44(12): 30-33. DOI: 10.13272/j.issn.1671-251x.2018050017
    [6]GONG Dali. Application of combination weighting method in coal mine safety risk analysis[J]. Journal of Mine Automation, 2018, 44(10): 94-99. DOI: 10.13272/j.issn.1671-251x.17348
    [7]HE Yaoyi. Discussion on evaluation index system and architecture of smart mine[J]. Journal of Mine Automation, 2017, 43(9): 16-20. DOI: 10.13272/j.issn.1671-251x.2017.09.003
    [8]LIU Yejiao, TIAN Zhichao, LIU Hong, REN Yuhui. Research of disaster resistance ability evaluation of mine ventilation system[J]. Journal of Mine Automation, 2015, 41(4): 44-47. DOI: 10.13272/j.issn.1671-251x.2015.04.012
    [9]CHENG Lei, ZHENG Xiaopeng, WANG Dongdong. Determination of evaluation indexes of ventilation effect and their membership functions of working face with high volume fraction gas[J]. Journal of Mine Automation, 2014, 40(8): 10-14. DOI: 10.13272/j.issn.1671-251x.2014.08.003
    [10]YANG Ying-di, ZHANG Guo-shu, QIN Ru-xiang. Development of General Evaluation Software of Indicator System Method and Its Applicatio[J]. Journal of Mine Automation, 2009, 35(3): 36-39.

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (80) PDF downloads (21) Cited by()
    Related

    苏ICP备 05016349号-2

    Supported by: Beijing Renhe Information Technology Co., Ltd. Visits：1172105    Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return