Citation: | YANG Chunyu, CAO Boshi, ZHANG Xin, et al. Summary of fault diagnosis methods for belt conveyor systems[J]. Journal of Mine Automation,2023,49(6):149-158. doi: 10.13272/j.issn.1671-251x.2023030099 |
[1] |
向秀华. 煤矿带式输送机智能故障诊断方法的研究[D]. 徐州: 中国矿业大学, 2017.
XIANG Xiuhua. Research on intelligent fault diagnosis of coal mine belt conveyer[D]. Xuzhou: China University of Mining and Technology, 2017.
|
[2] |
ZHOU Donghua,ZHAO Yinghong,WANG Zidong,et al. Review on diagnosis techniques for intermittent faults in dynamic systems[J]. IEEE Transactions on Industrial Electronics,2020:2337-2347.
|
[3] |
魏晓宾,马小平,李亚朋. 故障诊断技术综述[J]. 煤矿机电,2009,30(1):63-65.
WEI Xiaobin,MA Xiaoping,LI Yapeng. Survey of fault diagnosis technology[J]. Colliery Mechanical & Electrical Technology,2009,30(1):63-65.
|
[4] |
周东华,胡艳艳. 动态系统的故障诊断技术[J]. 自动化学报,2009,35(6):748-758. doi: 10.3724/SP.J.1004.2009.00748
ZHOU Donghua,HU Yanyan. Fault diagnosis techniques for dynamic systems[J]. Acta Automatica Sinica,2009,35(6):748-758. doi: 10.3724/SP.J.1004.2009.00748
|
[5] |
孙振宇,王震坡,刘鹏,等. 新能源汽车动力电池系统故障诊断研究综述[J]. 机械工程学报,2021,57(14):87-104. doi: 10.3901/JME.2021.14.087
SUN Zhenyu,WANG Zhenpo,LIU Peng,et al. Overview of fault diagnosis in new energy vehicle power battery system[J]. Journal of Mechanical Engineering,2021,57(14):87-104. doi: 10.3901/JME.2021.14.087
|
[6] |
薛光辉,张军,吉晓冬,等. 井下带式输送机减速器振动故障诊断研究[J]. 工矿自动化,2014,40(6):51-53.
XUE Guanghui,ZHANG Jun,JI Xiaodong,et al. Research of vibration fault diagnosis of underground belt conveyor gear reducer[J]. Industry and Mine Automation,2014,40(6):51-53.
|
[7] |
DENG Xiaogang, ZHANG Zheng. Nonlinear chemical process fault diagnosis using ensemble deep support vector data description[J]. Sensors, 2020, 20(16). DOI: 10.3390/s20164599.
|
[8] |
LI Xiangong, LI Yu, ZHANG Yuzhi, et al. Fault diagnosis of belt conveyor based on support vector machine and grey wolf optimization[J]. Mathematical Problems in Engineering, 2020. DOI: 10.1155/2020/1367078.
|
[9] |
王怡恬. 基于谱峭度和最小熵反卷积的轴承故障增强检测[D]. 长沙: 国防科技大学, 2017.
WANG Yitian. Bearing fault enhancement detection based on spectral kurtosis and minimum entropy deconvolution[D]. Changsha: National University of Defense Technology, 2017.
|
[10] |
王荣杰. 带式输送机打滑事故原因及对策[J]. 矿山机械,2001,29(8):77.
WANG Rongjie. Causes and countermeasures of belt conveyor slipping accident[J]. Mining & Processing Equipment,2001,29(8):77.
|
[11] |
YANG Yanli,MIAO Changyun,LI Xianguo,et al. On-line conveyor belts inspection based on machine vision[J]. Optik,2014,125(19):5803-5807. doi: 10.1016/j.ijleo.2014.07.070
|
[12] |
YU Binchao,QIAO Tiezhu,ZHANG Haitao,et al. Dual band infrared detection method based on mid-infrared and long infrared vision for conveyor belts longitudinal tear[J]. Measurement,2018,120:140-149. doi: 10.1016/j.measurement.2018.02.029
|
[13] |
QIAO Tiezhu,CHEN Lulu,PANG Yusong,et al. Integrative binocular vision detection method based on infrared and visible light fusion for conveyor belts longitudinal tear[J]. Measurement,2017,110:192-201. doi: 10.1016/j.measurement.2017.06.032
|
[14] |
QIAO Tiezhu,LIU Weili,PANG Yusong,et al. Research on visible light and infrared vision real-time detection system for conveyor belt longitudinal tear[J]. Iet Science Measurement & Technology,2016,10(6):577-584.
|
[15] |
HOU Chengcheng,QIAO Tiezhu,ZHANG Haitao,et al. Multispectral visual detection method for conveyor belt longitudinal tear[J]. Measurement,2019,143:246-257. doi: 10.1016/j.measurement.2019.05.010
|
[16] |
付胜,刘毅. 带式输送机输送带纵向撕裂线激光辅助视觉检测方法[J]. 矿山机械,2016,44(6):31-35.
FU Sheng,LIU Yi. Linear laser aided vision inspection method for longitudinal rip of conveyor belt[J]. Mining & Processing Equipment,2016,44(6):31-35.
|
[17] |
潘学文,张福生,路超. 基于故障树的故障诊断专家系统设计[J]. 煤矿机械,2021,42(3):174-176.
PAN Xuewen,ZHANG Fusheng,LU Chao. Design of fault diagnosis expert system based on fault tree[J]. Coal Mine Machinery,2021,42(3):174-176.
|
[18] |
陈作炳,刘阳. 基于B/S架构及专家系统的带式输送机远程监控系统设计[J]. 煤矿机械,2021,42(5):202-205.
CHEN Zuobing,LIU Yang. Design of remote monitoring system for belt conveyor based on B/S architecture and expert system[J]. Coal Mine Machinery,2021,42(5):202-205.
|
[19] |
刘强,尹同舟,唐秀山,等. 掘进机截割系统的故障树-层次分析法诊断分析[J]. 煤炭科学技术,2017,45(3):123-127.
LIU Qiang,YIN Tongzhou,TANG Xiushan,et al. Diagnosis analysis on fault tree-analytic hierarchy process of roadheader cutting system[J]. Coal Science and Technology,2017,45(3):123-127.
|
[20] |
彭华亮,沈暑龙,李军,等. 基于故障树的故障诊断专家系统设计[J]. 控制工程,2019,26(3):584-588.
PENG Hualiang,SHEN Shulong,LI Jun,et al. Design of diagnostic expert system for launch vehicles based on FTA[J]. Control Engineering of China,2019,26(3):584-588.
|
[21] |
JEINSCH T, SADER M, NOACK R, et al. A robust model-based information system for monitoring and fault detection of large scale belt conveyor systems[C]. The 4th world congress on intelligent control and automation, Shanghai, 2002: 3283-3287.
|
[22] |
RAVIKUMAR S,KANAGASABAPATHY H,MURALIDHARAN V. Fault diagnosis of self-aligning troughing rollers in belt conveyor system using k-star algorithm[J]. Measurement,2018,133:341-349.
|
[23] |
汪列文. 基于故障树分析的输送带跑偏故障研究[D]. 秦皇岛: 燕山大学, 2019.
WANG Liewen. Study on the deviation fault of conveyor belt based on fault tree analysis[D]. Qinhuangdao: Yanshan University, 2019.
|
[24] |
武晓斌. 带式输送机跑偏故障治理技术研究[J]. 自动化应用,2020,61(6):153-154,156.
WU Xiaobin. Research on treatment technology of belt conveyor deviation fault[J]. Automation Application,2020,61(6):153-154,156.
|
[25] |
闫峰. 带式输送机跑偏故障综合治理措施研究[J]. 机械工程与自动化,2020(1):194-195,198.
YAN Feng. Research on comprehensive treatment measures for belt conveyor deviation[J]. Mechanical Engineering & Automation,2020(1):194-195,198.
|
[26] |
崔融融. 带式输送机故障自动巡检机器人系统设计[J]. 煤矿机械,2021,42(3):15-18.
CUI Rongrong. Design of automatic fault inspection robot system for belt conveyor[J]. Coal Mine Machinery,2021,42(3):15-18.
|
[27] |
胡雪. 带式输送机工作状态分析与故障预警方法研究[D]. 沈阳: 沈阳工业大学, 2021.
HU Xue. Research on the working status analysis and fault early warning method of belt conveyor[D]. Shenyang: Shenyang University of Technology, 2021.
|
[28] |
朱艳军,任晓迪,席冉. 煤矿主运输带式输送机故障监测和防治系统研究[J]. 中国煤炭,2014,40(4):73-75.
ZHU Yanjun,REN Xiaodi,XI Ran. Research on fault monitoring and controlling system of main belt conveyor in coal mine[J]. China Coal,2014,40(4):73-75.
|
[29] |
井坤. 基于红外图像处理的带式输送机故障诊断系统研究[D]. 曲阜: 曲阜师范大学, 2021.
JING Kun. Research on fault diagnosis system of belt conveyor based on infrared image processing[D]. Qufu: Qufu Normal University, 2021.
|
[30] |
LI Jie,MIAO Changyun. The conveyor belt longitudinal tear on-line detection based on improved SSR algorithm[J]. Optik,2016,127(19):8002-8010. doi: 10.1016/j.ijleo.2016.05.111
|
[31] |
ZHANG Chuanwei, ZHANG Junnan. Detection of longitudinal belt rip based on canny operator[C]. International Conference on Computer Technology, Electronics and Communication, Guangzhou, 2017: 939-941.
|
[32] |
康宏. 矿井带式输送机故障的分析与处理[J]. 煤矿机械,2009,30(1):172-174.
KANG Hong. Malfunction analysis and disposal of mine belt conveyer[J]. Coal Mine Machinery,2009,30(1):172-174.
|
[33] |
冯全兴,于庆龙. 带式输送机常见故障分析与处理[J]. 科技创新导报,2011,8(20):60.
FENG Quanxing,YU Qinglong. Analysis and treatment of common faults of belt conveyor[J]. Science and Technology Innovation Herald,2011,8(20):60.
|
[34] |
李小元,周久华. 神东矿区带式输送机故障统计分析[J]. 矿山机械,2014,42(6):136-138.
LI Xiaoyuan,ZHOU Jiuhua. Statistical analysis of belt conveyor faults in Shendong mining area[J]. Mining & Processing Equipment,2014,42(6):136-138.
|
[35] |
冷军发,郭松涛,荆双喜,等. 基于最小熵解卷积的带式输送机传动滚筒轴承故障诊断[J]. 河南理工大学学报(自然科学版),2015,34(4):514-519.
LENG Junfa,GUO Songtao,JING Shuangxi,et al. Rolling element bearing fault diagnosis of belt conveyor driving drum based on minimum entropy deconvolution[J]. Journal of Henan Polytechnic University(Natural Science),2015,34(4):514-519.
|
[36] |
姚艳萍,孟文俊,王细平. 煤矿带式输送机改向滚筒故障分析[J]. 煤矿机械,2014,35(3):252-254.
YAO Yanping,MENG Wenjun,WANG Xiping. Failure analysis of belt conveyor bend pulley in coal mine[J]. Coal Mine Machinery,2014,35(3):252-254.
|
[37] |
张强. 基于新型检测方法的带式输送机滚筒故障诊断[J]. 机械管理开发,2022,37(6):144-145,151.
ZHANG Qiang. Fault diagnosis of belt conveyor roller based on new detection method[J]. Mechanical Management and Development,2022,37(6):144-145,151.
|
[38] |
任勇. 煤矿带式输送机的常见故障与原因分析[J]. 现代矿业,2019,35(4):147-148.
REN Yong. Analysis of common faults and causes of coal mine belt conveyor[J]. Modern Mining,2019,35(4):147-148.
|
[39] |
LIU Xiangwei,PANG Yusong,LODEWIJKS G,et al. Experimental research on condition monitoring of belt conveyor idlers[J]. Measurement,2018,127:277-282. doi: 10.1016/j.measurement.2018.04.066
|
[40] |
SHIRI H, WODECKI J, ZIETEK B, et al. Inspection robotic UGV platform and the procedure for an acoustic signal-based fault detection in belt conveyor idler[J]. Energies, 2021, 14(22). DOI: 10.3390/en14227646.
|
[41] |
GŁADYSIEWICZ L,KRÓL R,KISIELEWSKI W. Measurements of loads on belt conveyor idlers operated in real conditions[J]. Measurement,2018,134:336-344.
|
[42] |
韩龙. 煤矿皮带运输机的减速装置断轴分析及改进[J]. 机械管理开发,2018,33(8):285-287.
HAN Long. Analysis and improvement of shaft breaking of deceleration device of belt conveyer in coal mine[J]. Mechanical Management and Development,2018,33(8):285-287.
|
[43] |
姚少波. 矿用带式输送机减速机断轴原因分析与改进措施研究[J]. 机电工程技术,2020,49(6):199-200. doi: 10.3969/j.issn.1009-9492.2020.06.080
YAO Shaobo. Analysis and improvement of shafts broken of mine belt conveyor reducer[J]. Mechanical & Electrical Engineering Technology,2020,49(6):199-200. doi: 10.3969/j.issn.1009-9492.2020.06.080
|
[44] |
陈志矿. 浅谈小煤矿皮带运输机常见故障的处理方法[J]. 科技信息,2011(14):697.
CHEN Zhikuang. Brief discussion on the treatment of common faults of belt conveyor in small coal mines[J]. Science & Technology Information,2011(14):697.
|
[45] |
何宝泉,王彬. 带式输送机减速器的轴承故障诊断[J]. 煤矿机械,2013,34(10):256-257.
HE Baoquan,WANG Bin. Bearing fault diagnosis belt conveyor reducer[J]. Coal Mine Machinery,2013,34(10):256-257.
|
[46] |
宋钦一. 基于故障树和贝叶斯网络的带式输送机故障诊断[J]. 矿山机械,2022,50(9):55-58.
SONG Qinyi. Fault diagnosis on belt conveyor based on fault tree and Bayesian network[J]. Mining & Processing Equipment,2022,50(9):55-58.
|
[47] |
宋康康. 带式输送机输送带故障智能监测保护系统的设计[J]. 机械管理开发,2020,35(5):193-195.
SONG Kangkang. Design of intelligent monitoring and protection system for belt conveyor belt fault[J]. Mechanical Management and Development,2020,35(5):193-195.
|
[48] |
周东华,纪洪泉,何潇. 高速列车信息控制系统的故障诊断技术[J]. 自动化学报,2018,44(7):1153-1164.
ZHOU Donghua,JI Hongquan,HE Xiao. Fault diagnosis techniques for the information control system of high-speed trains[J]. Acta Automatica Sinica,2018,44(7):1153-1164.
|
[49] |
XIAO Yanjun,HAN Furong. Research on fault diagnosis method of rapier loom based on the fusion of expert system and fault tree[J]. Journal of Intelligent & Fuzzy Systems,2021,41(2):3429-3441.
|
[50] |
宋新扩. 带式输送机故障分析及其诊断系统设计研究[D]. 徐州: 中国矿业大学, 2019.
SONG Xinkuo. Fault analysis and diagnosis system design of belt conveyor[D]. Xuzhou: China University of Mining and Technology, 2019.
|
[51] |
张学舜. 带式输送机监测监控及故障诊断专家系统的设计及应用[J]. 机械管理开发,2022,37(8):164-165,168.
ZHANG Xueshun. Design and application of an expert system for monitoring and fault diagnosis of belt conveyors[J]. Mechanical Management and Development,2022,37(8):164-165,168.
|
[52] |
金鑫,任献彬,周亮. 智能故障诊断技术研究综述[J]. 国外电子测量技术,2009,28(7):30-32.
JIN Xin,REN Xianbin,ZHOU Liang. Overview on intelligent technology of fault diagnosis[J]. Foreign Electronic Measurement Technology,2009,28(7):30-32.
|
[53] |
高文博. 静态故障树分析法在皮带机胶带故障检测中的应用[J]. 江西煤炭科技,2016(3):134-136,140.
GAO Wenbo. Application of static fault tree method to belt fault detection in belt conveyor[J]. Jiangxi Coal Science & Technology,2016(3):134-136,140.
|
[54] |
刘宏达,汉京勇,申乃军,等. 基于支持向量机的SCR整流电路故障诊断方法[J]. 船舶工程,2012,34(6):25-29.
LIU Hongda,HAN Jingyong,SHEN Naijun,et al. Fault diagnosis method for SCR rectifier circuit based on support vector machines[J]. Ship Engineering,2012,34(6):25-29.
|
[55] |
蒋权,甄晓阳,王晓辉,等. 输送带跑偏故障的原因及诊断[J]. 机械工程与自动化,2014(1):141-143.
JIANG Quan,ZHEN Xiaoyang,WANG Xiaohui,et al. Reasons and fault diagnosis of conveyor belt running deviation[J]. Mechanical Engineering & Automation,2014(1):141-143.
|
[56] |
马晶晶. 带式输送机运行状态综合监测研究[D]. 青岛: 青岛理工大学, 2013.
MA Jingjing. Research on comprehensive monitoring of belt conveyor running state[D]. Qingdao: Qingdao University of Technology, 2013.
|
[57] |
苗长云,邵琦. 基于声音的带式输送机输送带纵向撕裂检测方法[J]. 天津工业大学学报,2021,40(6):70-75,82.
MIAO Changyun,SHAO Qi. Detection method of longitudinal tear of belt conveyor belt based on sound[J]. Journal of Tianjin Polytechnic University,2021,40(6):70-75,82.
|
[58] |
祁隽燕,谭超,李浩. 基于数字图像处理的皮带纵向撕裂视觉识别[J]. 煤炭技术,2006,25(11):15-17. doi: 10.3969/j.issn.1008-8725.2006.11.007
QI Junyan,TAN Chao,LI Hao. Vision identification for longitudinal rip of steel-cord belt based on digital image process[J]. Coal Technology,2006,25(11):15-17. doi: 10.3969/j.issn.1008-8725.2006.11.007
|
[59] |
祁隽燕,闫海峰,谭超,等. 基于LabVIEW的胶带撕裂机器视觉检测系统研究[J]. 煤炭工程,2009,41(9):123-125.
QI Junyan,YAN Haifeng,TAN Chao,et al. Machine vision inspection system of belt tearing base on LabVIEW[J]. Coal Engineering,2009,41(9):123-125.
|
[60] |
PENG Xiaoming. A novel image-based method for conveyor belt rip detection[C]. IEEE International Conference on Signal Processing, Communication and Computing, Kunming, 2013: 1-4.
|
[61] |
HOMIŠIN J,GREGA R,KAŠŠAY P,et al. Removal of systematic failure of belt conveyor drive by reducing vibrations[J]. Engineering Failure Analysis,2019,99:192-202. doi: 10.1016/j.engfailanal.2019.02.028
|
[62] |
陈劭康. 带式输送机故障预测与健康状态评估技术研究[D]. 徐州: 中国矿业大学, 2021.
CHEN Shaokang. Research on fault prediction and health assessment technology of belt conveyor[D]. Xuzhou: China University of Mining and Technology, 2021.
|
[63] |
崔扬扬. 可伸缩带式输送机故障诊断与对策[D]. 邯郸: 河北工程大学, 2013.
CUI Yangyang. Fault diagnosis and countermeasure of telescopic belt conveyor[D]. Handan: Hebei University of Engineering, 2013.
|
[64] |
于淑政,崔扬扬,曹艳芳. 带式输送机故障分析与处理[J]. 煤矿机械,2012,33(10):282-284.
YU Shuzheng,CUI Yangyang,CAO Yanfang. Analysis and treatment of belt type conveyor fault[J]. Coal Mine Machinery,2012,33(10):282-284.
|
[65] |
闫来清. 矿用带式输送机减速器故障诊断方法研究[J]. 电气应用,2014,33(23):82-85.
YAN Laiqing. Research on fault diagnosis method for reducer of mining belt conveyor[J]. Electrotechnical Application,2014,33(23):82-85.
|
[66] |
LIU Yi, MIAO Changyun, LI Xianguo, et al. Research on the fault analysis method of belt conveyor idlers based on sound and thermal infrared image features[J]. Measurement, 2021, 186. DOI: 10.1016/j.measurement.2021.110177.
|
[67] |
LI Wei, WANG Zewen, ZHU Zhencai, et al. Design of online monitoring and fault diagnosis system for belt conveyors based on wavelet packet decomposition and support vector machine[J]. Advance in Mechanical Engineering, 2013. DOI: 10.1155/2013/797183.
|
[68] |
YANG Mingjin,ZHOU Wenju,SONG Tianxiang. Audio-based fault diagnosis for belt conveyor rollers[J]. Neurocompting,2020,397:47-56.
|
[69] |
曹贯强. 带式输送机托辊故障检测方法[J]. 工矿自动化,2020,46(6):81-86.
CAO Guanqiang. Fault detection method for belt conveyor roller[J]. Industry and Mine Automation,2020,46(6):81-86.
|