Resonance frequency extraction method for auto-spectrum sub-period flourier transform high-range accelerometer

Abstract

The invention relates to a resonance frequency extraction method for an auto-spectrum sub-period flourier transform high-range accelerometer. The method comprises the following steps of acquiring a relation between a response output voltage and a time of a to-be-measured acceleration sensor and a system of the to-be-measured acceleration sensor during the instantaneous impact process, namely obtaining a time-domain spectrum of the sensor subjected to instantaneous impact; dividing a curve recorded during the impact process according to the time sequence into at least three response characteristic parts which are obviously different from one another; extracting the voltage and time relation data curve of the to-be-measured acceleration sensor during each of the above three or more differenttime periods; carrying out the Fourier transform on the data of each time period in sequence, and extracting an obvious typical signal peak subjected to Fourier transformation from each time domain;comparing the signal peaks during different time periods, and determining the resonance frequency peak and the frequency of the acceleration sensor. According to the invention, the first-order inherent frequency peak of the noise signal peak and the acceleration sensor can be identified and determined through one-time test.

Description

Technical field [0001] The invention relates to the technical field of microsensor mechanics testing and analysis, in particular to a method for extracting the resonance frequency of a self-spectrum time-division Fourier transform high-range accelerometer. Background technique [0002] For an acceleration sensor with a very high range, usually its sensitivity signal is very small, and its first-order resonance frequency is very high. The higher the first-order resonance frequency of the acceleration sensor, the larger its working bandwidth, which is conducive to extracting signals with a wide frequency distribution in a complex environment. An acceleration sensor with high frequency and high range, its first-order resonance frequency often reaches the magnitude of megahertz (MHz) or even above, and it is difficult to extract the natural resonance frequency parameters of the acceleration sensor with conventional vibration table and other testing methods. At the same time, due to ...

AI Technical Summary

Problems solved by technology

The signals collected by the computer are mainly the inherent electrical noise signal of the computer system, the inherent noise of the amplifier circuit, the external interference noise and the signal and noise of the acceleration sensor, etc. These signals will have obvious electrical resonance at a certain natural frequency The signal peak and its harmonic signal noise greatly hinder the identification and confirmation of the peak of the natural resonance frequency of the acceleration sensor

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