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Rotor Fault Diagnosis and Simulation Based on LabVIEW

机译:基于LabVIEW的转子故障诊断与仿真

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A fault diagnosis system based on LabVIEW is researched to analyze the rotating machinery fault. By developing data acquisition, signal analysis, processing and simulation, pattern recognition and fault diagnosis modules, this system can automatically measure and identify the shaft orbit of a rotor and get fault results. A pattern recognition method on the basis of the invariant moment algorithm is studied with LabVIEW and used to recognize shaft orbit shapes. The experimental results show that the shaft orbit of a rotor can be identified through invariant moment calculation. Because the shape of the shaft orbit of the rotor is close to the ellipse the main fault is imbalance. The fault result is proved to be correct by spectrum analysis. This study is helpful to develop a online fault diagnosis system based on LabVIEW.
机译:研究了基于LabVIEW的故障诊断系统,分析了旋转机械故障。通过开发数据采集,信号分析,处理和仿真,模式识别和故障诊断模块,该系统可以自动测量和识别转子的轴轨道并获得故障结果。利用LabVIEW研究了基于不变矩算法的模式识别方法,并将其用于识别竖井轨道形状。实验结果表明,可以通过不变矩计算来识别转子的轴轨道。因为转子的轴轨道的形状接近椭圆形,所以主要故障是不平衡。通过频谱分析证明故障结果是正确的。该研究有助于开发基于LabVIEW的在线故障诊断系统。

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