Second-order synchroextracting wavelet transform for nonstationary signal analysis of rotating machinery

被引：37

作者：

Han, Bo ^{[1
,2
]}

Zhou, Yiqi ^{[1
,2
]}

Yu, Gang ^{[3
]}

机构：

[1] Shandong Univ, Key Lab High Efficiency & Clean Mech Manufacture, Minist Educ, Jinan 250061, Peoples R China

[2] Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China

[3] Univ Jinan, Sch Elect Engn, Jinan 250022, Peoples R China

来源：

SIGNAL PROCESSING | 2021年 / 186卷

关键词：

Time-frequency analysis; Synchroextracting transform; Instantaneous frequency; Nonstationary signal; Rotating machinery; TIME-FREQUENCY ANALYSIS; SYNCHROSQUEEZING TRANSFORM; FAULT-DIAGNOSIS; INSTANTANEOUS FREQUENCY; DEMODULATION TRANSFORM; VIBRATION SIGNALS; BEARING SYSTEM; REASSIGNMENT;

D O I：

10.1016/j.sigpro.2021.108123

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Characterizing nonstationary signals with widely changing instantaneous frequency features is a challenging issue for time-frequency analysis (TFA) method. A novel TFA method termed second-order synchroextracting wavelet transform (SSEWT) is proposed for this purpose. The method extends the existing synchroextracting transform to the context of wavelet transform, and introduces the second-order instantaneous frequency estimate to improve its capability of processing nonstationary signals. The proposed method provides concentrated time-frequency representation with multiple resolutions, and retains good invertibility. The theories concerned and discrete implementation of the SSEWT are presented. Numerical simulations and experimental data collected from rotating machinery are employed to verify the competitive advantages of the SSEWT in revealing the local time-frequency features of nonstationary signals. (C) 2021 Elsevier B.V. All rights reserved.

引用

页数：13

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