基于磨损图谱自动识别的TORO400E铲运机液压系统状态监测的应用研究
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
对于矿山企业来说,大型液压机械设备是企业生产的支柱。大型液压设备安全、高效的使用则是矿山企业安全生产的关键。因此在矿山企业大型设备的维护、保养、维修中引入现代机械设备状态监测诊断技术就必不可少。本文结合贵州开磷集团的实际情况,在其生产主力TORO400E型铲运机上进行铁谱技术应用研究,取得了成功。
     本文在传统油液铁谱监测诊断技术的基础上,针对开磷集团TORO400E型铲运机的工作特点和常见多发故障特征,综合分析磨损失效机理,参考现有国内外研究成果,提出了TORO400E型铲运机状态监测诊断的基本框架,在现有铁谱技术基础上,建立了常见故障图谱库,并采用目前计算机图像处理技术可以胜任的基于图像内容的图像匹配方法,解决了铁谱技术难以推广应用的难题,使铁谱诊断技术得到了完善和提高。综合起来作了以下几个方面的工作:将先进的仪器设备结合软件形成了一套完整、高效、简便、适用的TORO400E型铲运机状态监测系统;针对TORO400E型铲运机建立完善的图谱库,开放的数据库形式可以方便的为每一台被监测铲运机建立专有的图谱库,提高的监测诊断的准确性。文中列举了开磷集团无轨设备状态监测应用实例,统计分析了系统应用以来的经济及社会效益。
Large hydraulic machine service is the producing base of the mine enterprise. The right working of large hydraulic machine is the key of mine enterprise' safe production. Therefore it is necessary for mine enterprise to monitor machine service's state with advanced technology. In terms of the reality conditions in Kailin Co., this thesis researches on the Ferrogram application technology and has got expected results on the TORO400E hydraulic system.
    Based on the traditional oil Ferrogram monitoring and diagnosis technology and in allusion to TORO400E's characteristic and its ordinary faults, combining the wear invalidation mechanism with the up-to-date theories in the world, this thesis puts forward the basic frame of the state monitoring and diagnosis of TORO400E and has established the Ferrogram database of ordinary faults. Moreover, thanks to the wonderful computer image manipulation technique, this thesis sets up the picture-matching method based on the the pictures' viscera, and thus greatly improves the Ferrogram application technology and widely promotes its use in practice.The following works have also been done in this thesis: the combination of advanced instrument and software makes an integrated, high efficiency, convenient and applicable monitor and diagnose system for TORO400E; it has established the perfect ferrogram database for TORO400E, and the open database is easy for each monitored one to set up the special database and to improve the accuracy of monitoring and diagnosing; as an illustration, this thesis offers a practical example over TORO400E state monitoring of Kailin Group, and sums up the economic and social benefits after this system has been applied.
引文
[1] 虞和济.设备故障诊断工程.冶金工业出版社.2001
    [2] 胡邦喜.设备润滑基础.冶金工业出版社.2001
    [3] Daniel P.Anderson. Wear Particle Atlas(Revised). Naval Air Engineering Center 1995
    [4] Pocock, Courtney, S.J. Ferrography as a Health Monitor and Design Aid for the Development of Helicopter Gearboxes. Paper 80-LC-6B-4, San Francisco. Aug 1980
    [5] 严新平.油液监测技术研究的综述.中国机械工程.2002.26
    [6] 陈仲生.机器状态监测与故障诊断综述.机电工程.2000.17(5):1-3
    [7] Castleman K R. Digital Image Processing. Prentice-Hall. 1996
    [8] Russ J C. The Image Processing Handbook. CRC Press. 1995
    [9] 邱静.FMS状态监控与故障诊断述评.中国机械工程.2001.24
    [10] 刘晋翼.油液分析状态监测技术及其应用.山西机械.2000(4):3-6
    [11] 刘计飞.设备状态监测和诊断技术的现状与发展动向.青海电力.2000(2):50-53
    [12] 孙永平.油液分析及设备状态监测.燃气轮机技术.1999.12(3):49-52
    [13] 章毓晋.图像理解与计算机视觉.清华大学出版社.2000.8
    [14] 王春喜.装甲装备推进装置技术状态监测系统.计算机自动检测与控制.1999.7(3):29-31
    [15] 董少平.大型活塞机状态监测.石油化工设备技术.1999.20(4):45-47
    [16] 韩西金.智能诊断中的状态监测与趋势分析.数据采集与处理 1999.14(1):115-118
    [17] 杨晓强.机械设备状态监测系统.振动、测试与诊断.1999.19(3):183-186
    [18] 何斌.数字图像处理.人民邮电出版社.2001.4
    [19] 杨大地.数值分析.重庆大学出版社.1997
    [20] 窦春生.旋转和尺寸不变的光学相关图像识别.宝鸡文理学院学报.1999.19(3):52-55
    [21] 杨世周.目标电视图像识别技术研究.电视技术.1999.(200):80-82
    [22] 薛重生.成矿远景区带蚀变岩的图像识别与制图.地质科技情报.1997.16:82-88
    [23] 沈定刚.时实图像识别系统.高技术通讯.1996(7):37-40
    [24] 张崇高.图像识别的最大模糊积分识别法.石油大学学报.1996.20:99-101
    [25] 周彩群.基于分形理论的岩相图像识别与分析.南京化工大学学报.
    
    2001.23(1):23-26
    [26] 卢瑞祥.火灾图像识别方法与应用.计算机应用研究.1998(1):106-108
    [27] 熊志勇.基于双属性图表示的通用人脸图像识别系统.计算机学报.2001.24(7):765-769
    [28] 王斌.带钢表面重皮缺陷在线图像识别算法研究.华中理工大学学报.1996.24(8):35-37]
    [29] 刘增良.模糊逻辑与神经网络[M].北京:北京航空航天大学出版社,1996
    [30] Hunt J et al. Neural Networks for Control System-a survey [J], Automatic, 1992, 28(6): 12~14
    [31] Timothy Msaters. Practical Network Recipes in C++[M]. Academic Press Inc, 1993
    [32] 王正中.系统仿真技术.北京科学出版社.1986
    [33] 熊光楞.计算机仿真应用.清华大学出版社.1988
    [34] Banks.J. Discrete-event System Simulation. Prentice-Hall. Inc. 1984
    [35] Bratley P. A Guide to Simulation. Springer-Verlag New York Inc. 1987
    [36] Pooch U W. Discrete Event Simulation. CRC Press Inc. 1993
    [37] Ho Y C. Perturbation Analysis and Discrete Event Dynamic System. Kluwer Academic Publishers. 1999
    [38] Shepherd J, Rixon L K, Griffiths L. Out burst and geological structures in coal mines: a review [J]. Int J Rock Mexh Min Sci and Geolmech Abstr, 1981(18): 267~283
    [39] 何江华.计算机仿真导论.科学出版社.2001
    [40] 严新平.油液监测技术的发展及其思考.润滑与密封.1999增刊:8-10
    [41] Hunt T.M. Handbook of Wear Debris Analysis and Particle Detection in Liquids. Elsevier Applied Science, 1992
    [42] 杨叔子,吴雅.时间序列分析的工程应用(上、下)[M].武汉:华中理工大学出版社,1991.242—308(上),1—20(下)
    [43] 徐峰,王志芳,杨玉冰.AR模型应用于振动信号趋势预测的研究[J].清华大学学报,1999,39(4):57—59
    [44] 郭大钧.大学数学手册.第一版.山东:山东科学技术出版社,1985年9月
    [45] 王连祥.数学手册.第一版.北京:人民教育出版社,1979年5月