[1]徐艳.基于 ZigBee 无线通信技术的机械主轴轴承振动检测[J].机械与电子,2023,41(01):70-74.
　XU Yan.Vibration Detection of Mechanical Spindle Bearing Based on ZigBee Wireless Communication Technology[J].Machinery & Electronics,2023,41(01):70-74.
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基于 ZigBee 无线通信技术的机械主轴轴承振动检测()

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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

Title:: Vibration Detection of Mechanical Spindle Bearing Based on ZigBee Wireless Communication Technology

Author(s):: XU Yan; ( Department of Electrical and Information Engineering , Xi ’ an Jiaotong University City College , Xi ’ an 710018 , China )

Keywords:: mechanical spindle bearing ; ZigBee wireless communication ; vibration detection ; wavelet decomposition ; network protocol

摘要:: 为了明确当前机械运转过程中可能出现故障的位置和危险程度,提出了基于 ZigBee 无线通信技术的机械主轴轴承振动检测方法。将采集的现场信号转为电信号,使用内核型号为 51 的 CC2430 异步串行端口进行逐字传输,结合 C 语言建立无线传感循环传输通信基站。使用时域指标方式计算峭度指标、裕度指标和有效值,利用结构参数和几何模型提取振动特征频率,针对不同频率下振动信号,使用小波分组和小波重构方程组消除噪声,借助频带运行能值判断当前振动类型。对比实验通过分析小波分解功率值与能值,验证所构模型的自适应能力,结果表明,提出的检测方法从主轴振动频谱入手,能够准确找出故障原因,具有较高的可行性。

Abstract:: In order to clarify the location and risk degree of possible faults in the current mechanical operation , a mechanical spindle bearing vibration detection method based on ZigBee wireless communication technology is proposed.The collected field signals are converted into electrical signals and transmitted word by word using the CC2430 asynchronous serial port with core model 51 , combined with C language to establish a wireless sensing loop transmission communication base station.The kurtosis index , margin index and effective value are calculated by time-domain index method , and the vibration characteristic frequency is extracted by structural parameters and geometric model.For vibration signals at different frequencies , wavelet grouping and wavelet reconstruction equations are used to eliminate noise , and the current vibration type is judged by frequency band operating energy value.Comparative experiments verify the adaptive ability of the model by analyzing the power value and energy value of wavelet decomposition.The results show that the detection method can find out the fault cause accurately with high feasibility.

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备注/Memo:: 收稿日期: 2022-01-10
作者简介:徐艳 ( 1981- ),女,江苏宿迁人,硕士,工程师,研究方向为电子测量仪器及通信工程。

更新日期/Last Update: 2023-03-01