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轴承振动信号采集分析系统设计与实现
引用本文:李浩天,赵振刚,李英娜,许晓平,李川.轴承振动信号采集分析系统设计与实现[J].传感器与微系统,2017,36(10).
作者姓名:李浩天  赵振刚  李英娜  许晓平  李川
作者单位:昆明理工大学信息工程与自动化学院,云南昆明,650500
摘    要:准确采集振动信号信息是轴承故障诊断的关键,利用传感器采集振动信号数据,经A/D转换后传输至STM32微控制器,STM32控制Wi-Fi模块将数据发送至PC,采用局部均值分解(LMD)方法对采集的振动数据进行分析处理,实现对滚动轴承运行状态的远程监控.实验结果表明:系统能够对滚动轴承振动信号进行精准采集和分析,传输性能好、速度快,适合在工业行业推广使用.

关 键 词:STM32  振动信号  Wi-Fi  局部均值分解  故障诊断

Design and realization of bearing vibration signal acquisition and analysis system
LI Hao-tian,ZHAO Zhen-gang,LI Ying-na,XU Xiao-ping,LI Chuan.Design and realization of bearing vibration signal acquisition and analysis system[J].Transducer and Microsystem Technology,2017,36(10).
Authors:LI Hao-tian  ZHAO Zhen-gang  LI Ying-na  XU Xiao-ping  LI Chuan
Abstract:Accurate acquisition of vibration signal information is the key for bearing fault diagnosis. This system comprised a sensor to obtain vibration signal data,which are transmitted to STM32 micro-controller after A/D conversion,STM32 controls Wi-Fi module to transfer these data to PC. Afterwards,Local mean decomposition (LMD) is adopted to analyze and process the vibration data to perform a remote monitoring on the running state of the rolling bearing. The experimental results show that the system is capable of collecting and analyzing vibration signals effectively of the rolling bearing,it has good transmission performance at a fast speed and can be introduced to the industry.
Keywords:STM32  vibration signal  Wi-Fi  local mean decomposition(LMD)  fault diagnosis
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