DU Anping. Prediction of blind fault based on cross-strata drainage boreholes[J]. Journal of Mine Automation, 2015, 41(1): 97-101. DOI: 10.13272/j.issn.1671-251x.2015.01.024
Citation: DU Anping. Prediction of blind fault based on cross-strata drainage boreholes[J]. Journal of Mine Automation, 2015, 41(1): 97-101. DOI: 10.13272/j.issn.1671-251x.2015.01.024

Prediction of blind fault based on cross-strata drainage boreholes

More Information
  • In view of limitations of inconvenient information read and big drilling engineering quantity existed in traditional advanced prediction method for blind fault, a prediction method of blind fault based on cross-strata drainage boreholes was put forward, the basic principle of the method was discussed based on the fault characteristics, fault diagnosis methods and steps were expounded by use of the least square principle and Matlab drawing function, and the feasibility of the proposed method was verified by an example. The paper provides a new thought and method for mine advanced geological forecast.
  • Related Articles

    [1]SUN Yongxin. Research on bearing residual life prediction method of coal mine machinery equipment[J]. Journal of Mine Automation, 2021, 47(11): 126-130. DOI: 10.13272/j.issn.1671-251x.17834
    [2]QIU Xingguo, WANG Ruizhi, ZHANG Weiguo, ZHANG Zhaozhao, ZHANG Jing. Discrimination of mine inrush water source based on PCA -CRHJ model[J]. Journal of Mine Automation, 2020, 46(11): 65-71. DOI: 10.13272/j.issn.1671 -251x.2020040089
    [3]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
    [4]ZHANG Linfeng, TIAN Muqin, SONG Jiancheng, HE Ying, FENG Junling, YANG Xiang. Feature extraction of vibration signal of roadheader based on singular value decompositio[J]. Journal of Mine Automation, 2019, 45(1): 28-34. DOI: 10.13272/j.issn.1671-251x.2018070035
    [5]MI Qiang, XU Yan, LIU Bin, XU Yunjie. Extraction method of texture feature of images of coal and gangue[J]. Journal of Mine Automation, 2017, 43(5): 26-30. DOI: 10.13272/j.issn.1671-251x.2017.05.007
    [6]WU Yunxia, ZHANG Haopeng, DU Dongbi. Feature extraction method for human ear image and its application in miner identificatio[J]. Journal of Mine Automation, 2015, 41(11): 30-34. DOI: 10.13272/j.issn.1671-251x.2015.11.008
    [7]WANG Jinfeng, QIN Ying, ZHAI Xueqi, FENG Lijie. Safety evaluation model of coal mine based on principal component and cluster analysis[J]. Journal of Mine Automation, 2015, 41(6): 29-34. DOI: 10.13272/j.issn.1671-251x.2015.06.008
    [8]WANG Yang. Statistics of coal mine safety accidents cause based on principal component analysis[J]. Journal of Mine Automation, 2013, 39(5): 90-92.
    [9]ZHANG Ning, REN Mao-wen, LIU Ping. Identification of coal-rock interface based on principal component analysis and BP neural network[J]. Journal of Mine Automation, 2013, 39(4): 55-58.
    [10]LEI Meng~, LI Ming~, XU Zhi-bin~. Application of Genetic Neural Network in Coal Quality Analysis with Near-infrared Spectroscopy[J]. Journal of Mine Automation, 2010, 36(2): 41-44.
  • Cited by

    Periodical cited type(1)

    1. 杨宁. 不连沟煤矿F6225工作面电阻率监测实践研究. 能源与环保. 2024(10): 119-123+134 .

    Other cited types(1)

Catalog

    Article Metrics

    Article views (45) PDF downloads (6) Cited by(2)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return