基于S变换的特征信号分析
Characteristic Signal Analysis Based on S-Transform
DOI: 10.12677/APP.2019.93018, PDF,    科研立项经费支持
作者: 山雨琴, 王晓龙, 李彦欣, 常锦才*：华北理工大学理学院，河北 唐山
关键词: 时频分析；S变换；多源信号；特征分析； Time-Frequency Analysis； S-Transform； Multi-Source Signals； Characteristic Analysis
摘要: 当前，我国矿山安全问题日渐凸显，矿山开采伴随着岩石破裂。针对岩石破裂产生的多源信号，采用时频分析对各种信号进行研究。常用的时频分析方法有短时傅里叶变换，小波变换，S变换等。本文首先阐述各种时频分析方法的原理，并进行比较筛选，从而得知S变换为处理各种信号的最优时频分析法。通过S变换对岩石破裂、爆破、敲击、钻孔、铲车等信号进行处理，来归类信号显著特征，如频率、能量、振幅、持续时间等，使得信号易于区分，为多源信号的特征提取以及分析提供了一定帮助。
Abstract: At present, the problem of mine safety in China is becoming more and more prominent. Mine mining is accompanied by rock rupture. The time frequency analysis is used to study the multi-source signals of rock rupture. Commonly used time-frequency analysis methods include short-time Fourier transform, wavelet transform, and S transform. This paper first expounds the principle of various time-frequency analysis methods and compares and selects them to know that S transformation is the optimal time-frequency analysis method for processing various signals. Through the S transformation, signals such as rock rupture, blasting, percussion, drilling, forklift, etc. are processed to classify the outstanding characteristics of the signal, such as frequency, energy, amplitude, duration, etc., making the signal easy to distinguish. It provides some help for feature extraction and analysis of multi-source signals.
文章引用：山雨琴, 王晓龙, 李彦欣, 常锦才. 基于S变换的特征信号分析[J]. 应用物理, 2019, 9(3): 149-156. https://doi.org/10.12677/APP.2019.93018

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