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ELECTRIC FAN VIBRATION FAULT DETECTING METHOD AND APPARATUS

机译:电风扇振动故障检测方法和装置

摘要

An electric fan vibration fault detecting method, comprising: a vibrating object being an electric fan, obtaining target videos corresponding to the vibrating object (103); amplifying the target videos using a Eulerian motion magnification method to obtain amplified output videos of the vibrating object having a motion magnification effect, the motion magnification effect indicating that the motion in the area where the vibrating object performs reciprocating motion is amplified in the target videos (104); obtaining frame sequences corresponding to the amplified output videos, and for the frame sequences, calculating the cross power spectrum between the frame sequences using a phase correlation algorithm (105); performing inverse Fourier transform on the cross power spectrum to obtain the vibration information of pixels in the target videos (106); and matching the vibration information with the vibration information corresponding to a standard vibration mode, and determining the vibration fault of the vibrating object according to the matching result (107). The present method can improve the accuracy of information extraction, thereby improving the reliability of vibration analysis. Also provided is an electric fan vibration fault detecting apparatus.
机译:电风扇振动故障检测方法,包括:振动物体是电风扇,获得对应于振动物体的目标视频(103);使用Eulerian运动倍率方法放大目标视频,以获得具有运动放大效果的振动物体的放大输出视频,该运动放大效果指示振动物体在目标视频中放大振动物体执行往复运动的区域中的运动( 104);获取对应于放大的输出视频的帧序列,以及用于帧序列,使用相位相关算法(105)计算帧序列之间的交叉功率谱;在交叉功率谱上执行逆傅里叶变换,以获得目标视频中的像素的振动信息(106);并将振动信息与对应于标准振动模式的振动信息匹配,并根据匹配结果确定振动对象的振动故障(107)。本方法可以提高信息提取的准确性,从而提高振动分析的可靠性。还提供了一种电风扇振动故障检测装置。

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