Filter Realization of the Time-Domain Average Denoising Method for a Mechanical Signal
Time-domain averaging (TDA) is an effective signal processing technique in fault diagnosis that can extract the periodic components of interest from signals mixed with noise interference while suppressing other irrelevant periodic signals. However, there are two obvious shortcomings to TDA: first, t...
Saved in:
Main Authors: | Wuwei Feng, Cuizhu Wang, Xin Chen, Yuzhou Shi, Meng Jiang, Di Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2021/6629349 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application research on the time–frequency analysis method in the quality detection of ultrasonic wire bonding
by: Wuwei Feng, et al.
Published: (2021-05-01) -
Denoising Method Based on Spectral Subtraction in Time-Frequency Domain
by: Lei Hao, et al.
Published: (2021-01-01) -
An Acceleration Denoising Method Based on an Adaptive Kalman Filter for Trajectory in Merging Zones
by: Qiucheng Chen, et al.
Published: (2023-01-01) -
Bearing Fault Feature Extraction Method Based on Adaptive Time-Varying Filtering Empirical Mode Decomposition and Singular Value Decomposition Denoising
by: Xuezhuang E, et al.
Published: (2025-01-01) -
Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage
by: Yan-long Chen, et al.
Published: (2014-01-01)