【摘要】 齿轮状态的监测通常采用有线连接的方式进行,会受到空间的制约。为了提高监测的识别效果,利用LabVIEW编程语言和改进的天牛须算法优化支持向量机的无线齿轮故障监测系统。通过LabVIEW软件及相关硬件无线控制下位机进行齿轮箱振动信号的采集和传输,获取常见的时频及小波能量特征,再利用LabVIEW中MATLAB Script导入改进的天牛须算法优化支持向量机程序进行训练,通过训练好的模型识别不同的齿轮故障类别。整个系统集远程采集、数据库存储、邮件报警、数据处理于一体。实例验证表明,该系统具有良好的识别效果,能满足实际应用。更多还原

【Abstract】 A wired connection mode is usually adopted in the monitoring of the gear state. Betause it is subject to space constraints,it is hard to improve its identification capacity of the monitoring. This paper designs a wireless gear fault monitoring system based on the Lab VIEW programming language and the improved Beetle Antennae algorithm to optimize the support vector machine. The Lab VIEW software and related hardware are used to wirelessly control the lower computer,which is used to collect and send the vibration signal of the gearbox,and obtain the common time-frequency and wavelet energy characteristics,and then,the MATLAB Script in Lab VIEW is used to import the improved Beetle Antennae algorithm,which is used to optimize the support vector machine program. The frained model is used to identify different categories of the gear failures. The remote collection,database storage,mail alarm and data processing are integrated together in the whole system. The example shows that the system has a good recognition effect and in meets the reguirements the practical application.更多还原