A Transient Time-Frequency Feature Extraction Method Based on Dynamic Response of Single Degree of Freedom System

Abstract

The invention provides a transient time-frequency feature extraction method based on the dynamic response of a single-degree-of-freedom system, which belongs to the technical field of signal time-varying feature extraction. The method includes: constructing a series of single-degree-of-freedom systems with different natural frequencies; applying the signal to be analyzed as a basic acceleration excitation to each constructed single-degree-of-freedom system to obtain dynamic response signals of each single-degree-of-freedom system; calculating each The envelope square signal of the dynamic response signal of the single-degree-of-freedom system; assign each envelope square signal to the corresponding row vector of the time-frequency matrix according to the corresponding natural frequency, obtain the time-frequency distribution of the signal to be analyzed, and extract the instantaneous State time-frequency characteristics. By adopting the invention, the transient time-frequency features in the signal to be analyzed can be accurately extracted.

Description

technical field [0001] The invention relates to the technical field of signal time-varying feature extraction, in particular to a transient time-frequency feature extraction method based on the dynamic response of a single-degree-of-freedom system. Background technique [0002] Mechanical equipment signals (such as acceleration, displacement, sound signals, electrical signals, etc.) are often accompanied by transient features. The sources of these features include sudden movements of mechanical structures, sudden changes in dynamic parameters caused by faults, etc. In the design and maintenance of mechanical equipment, it is often necessary to accurately extract the transient characteristics of the signal to reveal the dynamic characteristics, operating status, and health status of the mechanical equipment. Therefore, effective and accurate transient feature extraction technology is of great significance to the equipment manufacturing industry and the service safety of key e...

AI Technical Summary

Problems solved by technology

This scheme can theoretically improve the time resolution, but in turn is no longer suitable for the extraction of frequency features, that is, the oscillation frequency of transient features and other frequency components existing in the signal cannot be accurately characterized

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