ZHANG Tiecong, FENG Jinpeng, ZHAO Yancheng, NIU Tao, LIU Guofeng. Abnormal state detection method for scraper of TDS intelligent dry sorter based on surface grayscale and texture recognition[J]. Journal of Mine Automation, 2024, 50(S1): 134-138.
Citation: ZHANG Tiecong, FENG Jinpeng, ZHAO Yancheng, NIU Tao, LIU Guofeng. Abnormal state detection method for scraper of TDS intelligent dry sorter based on surface grayscale and texture recognition[J]. Journal of Mine Automation, 2024, 50(S1): 134-138.

Abnormal state detection method for scraper of TDS intelligent dry sorter based on surface grayscale and texture recognition

More Information
  • Received Date: January 24, 2024
  • [1]
    赵树彦, 任利勤, 张玉磊.先进选煤技术促进煤炭清洁高效利用研究与探讨[J].中国煤炭, 2022, 48(7):17-21.
    [2]
    陈佳鑫, 赵国贞, 程伟, 等.基于动态称量和图像识别技术的井下煤矸石智能分选装置研发[J].矿业研究与开发, 2023, 43(2):178-183.
    [3]
    武国平, 梁兴国, 胡金良, 等.基于X射线与神经网络的煤炭自动化干选模型[J].自动化技术与应用, 2023, 42(8):46-49.
    [4]
    温晓荣, 任利丰.基于小波分析的刮板输送机断链故障检测系统[J].机械制造与自动化, 2023, 52(2):216-219.
    [5]
    张雷, 梁义维, 王旭平, 等.矿用刮板机自供电链张力检测系统的研究[J].仪表技术与传感器, 2021(10):85-89.
    [6]
    张帆, 李闯, 李昊.智能综采工作面刮板输送机直线度监测方法研究[J].煤炭科学技术, 2022, 50(4):246-255.
    [7]
    丁华, 吕彦宝, 崔红伟, 等.基于分布式深度神经网络的刮板输送机启停工况故障诊断方法[J].振动与冲击, 2023, 42(18):112-122, 249.
    [8]
    彭小红, 梁子祥, 张军, 等.深度学习驱动的水下图像预处理研究进展综述[J].计算机工程与应用, 2021, 57(13):43-54.
    [9]
    王彤, 杨秋菊.结合多类特征融合与ICM目标函数优化的图像语义分割方法[J].计算机应用与软件, 2021, 38(8):240-247.
    [10]
    彭道刚, 尹磊, 戚尔江, 等.基于OTSU和区域生长的电厂管道缺陷检测与分割[J].红外技术, 2021, 43(5):502-509.
    [11]
    邹雨彤, 谭毅, 罗一涵.检焦系统中基于改进Sobel算子的图像清晰度评价函数研究[J].电子设计工程, 2022, 30(7):150-155.
    [12]
    康爽, 陈长征, 罗园庆, 等.基于微分形态学梯度风力发电机叶片缺陷边缘增强的红外检测研究[J].太阳能学报, 2021, 42(6):432-437.
    [13]
    王晓琦, 赵宣植, 刘增力.基于颜色恒常性和多尺度小波的水下光学图像增强[J].激光与光电子学进展, 2022, 59(16):42-52.
    [14]
    余杰, 蔡志明, 王平波.主动声呐B显图像中的疑似目标自动拾取算法[J].哈尔滨工程大学学报, 2022, 43(10):1532-1538.
    [15]
    董英娟, 郭华金, 杜子学, 等.基于Canny算子边缘检测技术的光学图像MTF测试[J].自动化与仪器仪表, 2022(8):258-262, 266.
    [16]
    杨德振, 黄静颖, 喻松林, 等.基于引导滤波和分块自适应阈值的单帧红外弱小目标检测[J].光子学报, 2023, 52(4):270-280.
    [17]
    谭芳喜, 肖世德, 周亮君, 等.基于改进YOLOv3算法在道路目标检测中的应用[J].计算机技术与发展, 2021, 31(8):118-123.
    [18]
    郝俊飞, 陶健.智能干选机在骆驼山洗煤厂应用研究[J].自动化仪表, 2022, 43(11):105-110.
    [19]
    俞杰, 陈思泽, 张连鑫, 等.中子照相中CCD相机瞬态噪声对成像分辨率的影响及其屏蔽需求分析[J].原子能科学技术, 2021, 55(增刊1):151-157.
  • Related Articles

    [1]JI Xianliang, ZHANG Wenjie, WANG Yuqiang, LIU Yong, TIAN Zuzhi, FU Zheng. Research on high-precision coal flow detection of belt conveyors based on machine vision[J]. Journal of Mine Automation, 2024, 50(5): 75-83. DOI: 10.13272/j.issn.1671-251x.2024030028
    [2]MAO Qinghua, GUO Wenjin, ZHAI Jiao, WANG Rongquan, SHANG Xinmang, LI Shikun, XUE Xusheng. Research on video AI recognition technology for abnormal state of coal mine belt conveyors[J]. Journal of Mine Automation, 2023, 49(9): 36-46. DOI: 10.13272/j.issn.1671-251x.18134
    [3]XU Lianhang, LI Xi, GUO Xusen, LI Jing. Method for detecting the status of retaining walls in intelligent mines[J]. Journal of Mine Automation, 2023, 49(8): 121-126. DOI: 10.13272/j.issn.1671-251x.2023040036
    [4]WANG Yudong, DAI Wei, MA Xiaoping. Rapid detection method of bolt abnormality based on machine visio[J]. Journal of Mine Automation, 2021, 47(4): 13-18. DOI: 10.13272/j.issn.1671-251x.2021020038
    [5]WANG Yuan, LI Hongwei, GUO Wei, HE Haitao, JIA Gaoxiang. Monitoring method of recovery state of hydraulic support guard plate based on image recognitio[J]. Journal of Mine Automation, 2019, 45(2): 47-53. DOI: 10.13272/j.issn.1671-251x.2018070037
    [6]XIE Pengcheng, CHEN Qingshan, LI Xiang. Real-time dust monitoring for industrial site based on machine visio[J]. Journal of Mine Automation, 2017, 43(3): 61-65. DOI: 10.13272/j.issn.1671-251x.2017.03.014
    [7]YE Jingdong, ZONG Shousong, ZHU Meiqiang, LI Ming. Detection system for coal mine electrical inspection instrument with digital display based on machine visio[J]. Journal of Mine Automation, 2016, 42(9): 13-16. DOI: 10.13272/j.issn.1671-251x.2016.09.004
    [8]TAO Fengyuan, ZHANG Dong, DONG Xinsheng, WANG Shirong. Analysis of influence factors of polarization spectrum method on state detection of transformer oil-paper insulatio[J]. Journal of Mine Automation, 2014, 40(10): 33-36. DOI: 10.13272/j.issn.1671-251x.2014.10.010
    [9]TIAN Zi-jian, PENG Xia, SU Bo. Research of coal-rock interface identification based on machine visio[J]. Journal of Mine Automation, 2013, 39(5): 49-52.
    [10]YANG Hong-yu, SUN Li-yuan, WANG Ru-mei, YANG Kui. Determination Method of Melting Point of Iron Ore Based on Machine Visio[J]. Journal of Mine Automation, 2010, 36(3): 125-128.
  • Cited by

    Periodical cited type(2)

    1. 刘树成. TDS智能干选机在选煤厂改造中的应用. 矿山机械. 2025(08)
    2. 郑莉. 选煤厂智能干选机应用分析. 能源与节能. 2025(05): 224-226 .

    Other cited types(0)

Catalog

    LIU Guofeng

    1. On this Site
    2. On Google Scholar
    3. On PubMed

    Article Metrics

    Article views (14) PDF downloads (4) Cited by(2)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return