Second-Order Transient-Extracting Transform With Application to Time-Frequency Filtering

This article introduces the second-order transient-extracting transform (TET2) to extract transient components from a nonstationary signal. Different from the traditional transient-extracting transform (TET1), the proposed method is based on a more general frequency-domain signal model, termed the G...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2020-08, Vol.69 (8), p.5428-5437
Main Authors: He, Zhoujie, Tu, Xiaotong, Bao, Wenjie, Hu, Yue, Li, Fucai
Format: Article
Language:English
Subjects:
Delays
Fault diagnosis
Filtering
Filtration
Fourier transforms
Group delay
group delay (GD) estimator
time-frequency (TF) filtering
Time-frequency analysis
Transient analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This article introduces the second-order transient-extracting transform (TET2) to extract transient components from a nonstationary signal. Different from the traditional transient-extracting transform (TET1), the proposed method is based on a more general frequency-domain signal model, termed the Gaussian-modulated linear group delay signal model. The first step of the proposed method is the computation of the second-order group delay (GD) estimator that describes the temporal positioning of signal ridges in the time-frequency (TF) plane. Based on this second-order GD estimator, we can then obtain an energy-concentrated TF representation. Finally, the transient component of interest is reconstructed after filtering out the noise in the TF plane. Thus, the TET2 can be considered as an effective TF filtering tool. Numerical experiments on real and synthetic signals show the effectiveness of the proposed method in the TF filtering application.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2019.2960595