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基于无线传感网络的滚动轴承在线监测系统
其他题名Rolling Bearing Online Monitoring System Based on Wireless Sensor Network
姚康平
学位类型工学硕士
导师李学恩
2013-05-27
学位授予单位中国科学院大学
学位授予地点中国科学院自动化研究所
学位专业控制理论与控制工程
关键词轴承故障监测 无线传感网络 振动分析 低功耗 Stm32 Bearing Fault Monitoring Wireless Sensor Networks Vibration Analysis Low Power Consumption Stm32
摘要滚动轴承是旋转机械中非常容易损坏的零部件之一,它被广泛地应用于造纸、冶金和石化等国家支柱产业的重要设备上。根据统计数据表明,大概有30%的旋转机械故障是由于它们的滚动轴承的损坏造成的,给国家和企业带来了巨大的经济损失。因此,研究人员一直非常重视滚动轴承工作状况的实时监测和故障诊断。在市场上,也推出了一批便携式的轴承故障分析仪,在一些规模较大的厂房内也能发现基于有线传输的在线监测系统。但是这些设备都存在很多局限和不便,例如便携式设备巡检周期长,发现问题不及时,有线系统安装成本高,可扩展性差等。 无线传感器网络是近些年来兴起的新技术,已成功应用于军事、农业、环境监测、交通管理、医疗监护等领域。但是,其在工业机械故障监测中的应用还很少,具有广阔的研究前景。开发出一套基于无线传感网的轴承监测系统可以解决有线监测系统的诸多毛病,具有非常重大的研究价值。本文在总结前人多年来的研究成果的基础上,提出了将无线传感网络技术应用于滚动轴承运行状态监测的思想。与其它类似研究者不同的是,本文提出了一种特殊的网络结构,能够在复杂工况中保证数据的稳定传输;注重本地无线节点的运算处理功能,对采集到的大量数据在片上就进行故障特征提取,从而有效地降低了网络负载和节点功耗,延长了节点的使用寿命。本文采用理论分析和实验论证相结合的方法,完成了如下研究工作: (1)研究总结现有的滚动轴承故障检测方法,设计本系统的故障检测算法。 (2)设计监测系统的网络架构,制定节点之间的通信协议。 (3)完成网络中节点的硬件电路设计工作,包括器件的选型,电路的调试等。 (4)完成系统软件设计工作,包括微处理器各部分的驱动,轴承故障特征提取算法的编写等。 (5)实验测试,主要包括对网络性能、节点功耗、故障检测效果的实际测试和分析。
其他摘要Rolling bearing is one of the most vulnerable components of rotating machinery, which is widely used in important equipments of national pillar industries such as paper making, metallurgy and petrochemical. Statistics shows that about 30% of the rotating machinery faults result from their rolling bearing damage, which bring huge economic loss to our country and enterprise. Therefore, Researchers have been always paid attention to the real-time monitoring and fault diagnosis of rolling bearing working conditions. In the market, there are a number of portable bearing fault analyzers now, and cable-based on line monitoring system can be found in some large-scale plant. However, these devices have many limitations and inconveniences, such as long inspection cycle to portable equipment, high installation costs, and poor scalability etc. Wireless sensor networks (WSN) is a new technology of recent years, which has been successfully applied in the fields of military, agriculture, environmental monitoring, traffic management, medical care etc. But its application in fault monitoring of industrial machinery is rare and has broad research prospects. Developing one set of bearing monitoring system based on wireless sensor network can solve many problems and deficiencies of wire-based monitoring system, has a very significant research value. On the basis of previous research, this paper has applied WSN technology in the field of rolling bearing condition monitoring. What makes it different is that this paper presents a special network structure to ensure stable transmission in hash environment, emphasizing on local node computation and extracting faults features on chip to effectively reduce network load and energy consumption and prolong node lifetime. In this paper, by combining theoretical analysis and experimental testing, the author has completed the following work: (1) Summarize existing rolling bearing fault detection methods, and design the fault detection algorithm of this system. (2) Design the network architecture of monitoring system; regulate the communication protocol among nodes. (3) Complete hardware circuit design in the network, including device selection, circuit debugging etc. (4) Complete system software design, including the driving of various functional modules of microprocessor, programming bearing fault feature extraction algorithm etc. (5) Experimental tests, including practical tests and analysis of network performance, node energy con...
馆藏号XWLW1900
其他标识符201028014628021
语种中文
文献类型学位论文
条目标识符http://ir.ia.ac.cn/handle/173211/7653
专题毕业生_硕士学位论文
推荐引用方式
GB/T 7714
姚康平. 基于无线传感网络的滚动轴承在线监测系统[D]. 中国科学院自动化研究所. 中国科学院大学,2013.
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