MEN Rujia, LEI Zhipeng, LIN Lingyan, ZHANG Guodong, ZHAO Ruixue, ZHU Jianfei, XU Chunyu, SONG Jiancheng, TIAN Muqin. Insulation state assessment of mine-used ethylene propylene rubber cable under electro-thermal aging[J]. Journal of Mine Automation, 2019, 45(4): 67-71. DOI: 10.13272/j.issn.1671-251x.2019010038
Citation: MEN Rujia, LEI Zhipeng, LIN Lingyan, ZHANG Guodong, ZHAO Ruixue, ZHU Jianfei, XU Chunyu, SONG Jiancheng, TIAN Muqin. Insulation state assessment of mine-used ethylene propylene rubber cable under electro-thermal aging[J]. Journal of Mine Automation, 2019, 45(4): 67-71. DOI: 10.13272/j.issn.1671-251x.2019010038

Insulation state assessment of mine-used ethylene propylene rubber cable under electro-thermal aging

More Information
  • There are few studies on insulation aging characteristics of ethylene propylene rubber cable under electro-thermal aging. According to the above problem, electro-thermal aging test of mine-used ethylene propylene rubber cable was carried out, polarization and depolarization current characteristics of ethylene propylene rubber cable insulation under different aging time were analyzed, and characteristic parameters which could reflect insulation aging degree including aging index and depolarization charge quantity were proposed. The results show that color of insulation surface of ethylene propylene rubber cable gradually changes from white to brown with increase of aging time. In the late aging stage, white powdered material is generated in outer insulation layer, and many holes are formed in the insulation. Polarization current and depolarization current of the insulation increase gradually with increase of aging time. Change of the depolarization current is obviously in the early aging stage and small in the late aging stage. Aging index calculated by the polarization current and depolarization charge quantity calculated by the depolarization current increase with increase of aging time, which can be used as characteristic parameters to evaluate insulation aging state of ethylene propylene rubber cable.
  • Related Articles

    [1]CHEN Shuhang, WANG Shibo, GE Shirong, WANG Yun, MA Guangjun. Study on the spatiotemporal distribution of coal flow in the scraper conveyor of fully mechanized mining face[J]. Journal of Mine Automation, 2024, 50(9): 98-107. DOI: 10.13272/j.issn.1671-251x.2023110009
    [2]CHEN Yan. Intelligent fault diagnosis of belt conveyor drive roller bearing[J]. Journal of Mine Automation, 2023, 49(S1): 56-59,137.
    [3]YANG Chuncai, LI Xianglei, LYU Xiaowei. Diagnosis method for bearing faults in coal mining equipment[J]. Journal of Mine Automation, 2023, 49(12): 147-151. DOI: 10.13272/j.issn.1671-251x.18176
    [4]LI Bo, GUO Xingran, LI Juanli, WANG Xuewen, XIA Rui. A fault warning method for scraper conveyor chain transmission system based on LSTM-Adam[J]. Journal of Mine Automation, 2023, 49(9): 140-146. DOI: 10.13272/j.issn.1671-251x.18086
    [5]SHI Lingkai, GENG Yide, WANG Hongwei, WANG Hongli. Multi-object detection of iron foreign bodies in scraper conveyor based on improved Mask R-CNN[J]. Journal of Mine Automation, 2022, 48(10): 55-61. DOI: 10.13272/j.issn.1671-251x.2022080029
    [6]ZHANG Ke, YANG Shiwen, GAO Huifeng, LIU Sirong. Damage analysis and lifetime prediction of round-link chain of mine-used scraper conveyor[J]. Journal of Mine Automation, 2017, 43(7): 53-57. DOI: 10.13272/j.issn.1671-251x.2017.07.011
    [7]付翔, 王然风, 袁继成. 煤矿乳化液泵变频/工频切换控制[J]. Journal of Mine Automation, 2017, 43(1): 81-84. DOI: 10.13272/j.issn.1671-251x.2017.01.020
    [8]WU Jian, HUANG Xia. Application research of lifting wavelet transform in fault diagnosis of coal mine bearing[J]. Journal of Mine Automation, 2016, 42(9): 74-76. DOI: 10.13272/j.issn.1671-251x.2016.09.018
    [9]QIAO Shuyun. Fault diagnosis for mine hoist bearing based on EMD method[J]. Journal of Mine Automation, 2016, 42(4): 51-54. DOI: 10.13272/j.issn.1671-251x.2016.04.012
    [10]WANG Ai-ming, WU Jing-hong, MENG Guo-ying, PANG Zheng-duo, DUAN Peng-fei. Development of On-line Monitoring System of Fault of Scraper Conveyor’s Chai[J]. Journal of Mine Automation, 2010, 36(5): 91-93.
  • Cited by

    Periodical cited type(8)

    1. 陈仪,刘春元. 基于聚类集合的EMD-CNN-BiLSTM自注意力机制短期电力负荷预测. 软件工程. 2025(03): 1-5+46 .
    2. 李剑. 基于GRA-SSA-GRU模型的煤层瓦斯含量预测. 能源与环保. 2025(02): 36-41 .
    3. 祁浩浩,茅大钧,陈思勤. 基于改进自适应增强算法的混煤发热量预测方法. 电力科学与工程. 2024(06): 69-78 .
    4. 曹潇颖. 基于随机森林回归算法的油井能耗分析和预测. 化学工程与装备. 2024(07): 125-129 .
    5. 王薇. 基于随机森林回归算法的抽油机井系统效率分析与预测. 石油石化节能与计量. 2024(08): 1-5 .
    6. 宋世伟,张雪,张喜超,景媛媛. 基于深度神经网络的回采工作面瓦斯涌出量预测. 现代工业经济和信息化. 2024(09): 115-116+119 .
    7. 虞任豪,战韬阳,项薇,林文文,邓晓强. 基于贝叶斯优化机器学习的多尺度注塑质量预测. 机械制造. 2024(11): 101-106+59 .
    8. 马文伟. 基于特征选择与BO-GBDT的工作面瓦斯涌出量预测方法. 工矿自动化. 2024(12): 136-144 . 本站查看

    Other cited types(2)

Catalog

    Article Metrics

    Article views (72) PDF downloads (13) Cited by(10)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return