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首页>《中国测试》期刊>本期导读>基于L-WSNs的货运列车轴承在线监测方法

基于L-WSNs的货运列车轴承在线监测方法

761    2019-01-30

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作者:王楠1,2, 岳晓奎2, 梁应选1, 王鹏1

作者单位:1. 陕西理工大学机械工程学院, 陕西 汉中 723001;
2. 西北工业大学 航天飞行动力学技术国家级重点实验室, 陕西 西安 710072


关键词:货运列车轴承;线性无线传感器网络;在线监测;Zigbee技术


摘要:

针对货运列车的结构与运行特点,应用线性无线传感器网络(linear wireless sensor networks,L-WSNs),提出货运列车轴承在线监测方法,并开发监测系统。研究并解决网络路由协议、振动数据压缩编码传输以及Zigbee节点设计3个关键问题,在高速电主轴转子及液压系统上进行振动与温度信号组网监测试验,并分析试验结果及节点能耗,最后预估节点寿命。试验与分析结果表明:监测系统可同时实现4路振动及温度信号的同步采集与组网传输,实时性好、误码率低;同时,网络节点能耗与寿命也满足系统要求。


On-line monitoring method on bearing of freight train based on linear wireless sensor networks
WANG Nan1,2, YUE Xiaokui2, LIANG Yingxuan1, WANG Peng1
1. School of Mechanical Engineering, Shaanxi University of Technology, Hanzhong 723001, China;
2. National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi'an 710072, China
Abstract: According to the structural and operational characteristics of freight train, the on-line monitoring method on bearing of freight train based on linear wireless sensor networks is proposed, and the monitoring system is developed. The three key issues including network routing protocol, compressing, coding and transmitting of vibration data, and design of node based Zigbee were studied and solved. The networking and monitoring experiment of vibration and temperature signals were conducted on rotor and hydraulic systems of high-speed motorized spindle, the experimental results and energy consumption of node were analyzed, and the lifetime of node was estimated. The experimental and analyzing results show that the collecting, networking and transmitting of four channel vibration and temperature signals can be realized simultaneously via monitoring system, the characteristics of monitoring system are good real-time performance and low bit error rate, and meanwhile, the energy consumption and lifetime of network nodes also meets the system requirements.
Keywords: bearing of freight train;linear wireless sensor networks;on-line monitoring;Zigbee technology
2019, 45(1):107-114  收稿日期: 2018-03-22;收到修改稿日期: 2018-04-17
基金项目: 国家自然科学基金资助项目(51605269);陕西理工大学博士启动基金资助项目(SLGQD15-07)
作者简介: 王楠(1983-),男,陕西渭南市人,副教授,硕士生导师,研究方向为机电设备监测与诊断、无线传感器网络技术及应用等
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