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Research of Amplitude-Frequency Domain Parameters Analysis for Condition Detection and Fault Diagnosis

机译:状态检测与故障诊断的幅频域参数分析研究

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摘要

According to incomplete statistic, about 30% of the machinery fault is caused by the rotating component. But, the rotating machinery vibration testing and fault diagnosis has the problems of collecting useful information containing the noise, etc. So, this study adopted the time-frequency analysis technology to realize the rotating machine condition test and fault diagnosis. The actual rotation machinery vibration data after pretreated is used to identify the work conditions of the rotating machinery equipment through analyzing the parameters of the time domain and frequency domain, which accurately judge the rotating machinery equipment fault condition. After finding the fault starting time by using the time domain parameters, the frequency spectrum analysis is used to grasp the fault type by comparing the vibration signal character of the energy frequency spectrum. Through the simulation we can see, time domain parameters can judge the rotating machinery equipment fault occurs time accurately and exactly find the fault type by the frequency spectrum energy.
机译:根据不完全统计,大约30%的机械故障是由旋转部件引起的。但是,旋转机械振动测试与故障诊断存在收集噪声等有用信息的问题。因此,本研究采用时频分析技术来实现旋转机械状态测试与故障诊断。预处理后的实际旋转机械振动数据通过分析时域和频域参数,确定旋转机械设备的工况,准确判断旋转机械设备的故障情况。利用时域参数确定故障的开始时间后,通过频谱分析比较能量频谱的振动信号特征,掌握故障的类型。通过仿真可以看出,时域参数可以准确地判断旋转机械设备的故障发生时间,并通过频谱能量准确地找到故障类型。

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