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Fault detection based on a signal of rotor rotation

机译:基于转子旋转信号的故障检测

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Currently, when research the fault detection and diagnosis in the mechanical and electrical systems, with the most is extracted vibration signal analysis and processing, but the vibration signal could been interfered easily by outside environment, this is likely to lead to signal distortion and cannot detect the fault. This paper proposed a fault detection method of mechanical and electrical system based on a rotation signal which collected by rotor, and introduced the rotation signal extraction method and FFT analysis theory. Experiments show that the method can capture the rotor turn signals accurately, and ensure the accuracy of FFT analysis base on this signal. From the results of PC processing, we can see, this method can detect common mechanical system failure effectively, and overcome the shortcomings of the vibration failure analysis.
机译:目前,当研究机电系统中的故障检测和诊断时,充分提取振动信号分析和加工,但振动信号可以通过外部环境容易地干扰,这可能导致信号失真并无法检测到错误。本文提出了一种基于转子收集的旋转信号的机械和电气系统故障检测方法,并引入了旋转信号提取方法和FFT分析理论。实验表明,该方法可以准确地捕获转子转向信号,并确保FFT分析基础的精度在该信号上。从PC处理的结果,我们可以看到,这种方法可以有效地检测常见的机械系统故障,并克服振动故障分析的缺点。

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