A non-contact micro-vibration visual measurement method

Abstract

The invention discloses a non-contact micro vibration visual measurement method. This method aims to study and analyze the frequency characteristics of micro-vibration signals. This technology mainly includes micro-vibration signal extraction, camera motion interference suppression processing, and signal analysis. The steps of the method are as follows, step S1: collect video data of vibrating objects in nature to extract tiny vibration signals; step S2: use Fourier transform to transform the tiny vibration signals into frequency domain, and obtain their frequency spectrum; step S3: obtain the frequency spectrum from the Extract the camera motion signal from the video data, analyze and process the camera motion signal to obtain the attenuation coefficient vector Coe; Step S4: multiply the attenuation coefficient vector Coe and the frequency spectrum of each micro vibration signal, and obtain the average value Vibration target spectrum.

Description

technical field

[0001] The invention belongs to the technical field of computer vision, and relates to a non-contact micro-vibration visual measurement method in a real scene. Background technique

[0002] The vibration characteristics of a vibrating object are closely related to its own state. For example, the vibration information generated during the operation of an industrial system reflects its structural characteristics and operating status. Bad vibration not only affects the performance of the system, but even has serious safety consequences.

[0003] The existing vibration measurement methods are divided into two types: contact and non-contact. Contact vibration measurement sensors, such as piezoelectric sensors, acceleration sensors, etc., are generally installed on the surface of the object to be measured, and the vibration measurement is realized by converting the vibration signal into an electrical signal. During the measurement process, the mechanical loss of...

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