Noise Reduction for Modal Parameter Identification of the Measured FRFs Using the Modal Peak-Based Hankel-SVD Method
The measured frequency response functions (FRFs) in the modal test are usually contaminated with noise that significantly affects the modal parameter identification. In this paper, a modal peak-based Hankel-SVD (MPHSVD) method is proposed to eliminate the noise contaminated in the measured FRFs in o...
Saved in:
Main Authors: | Tianxu Zhu, Chaoping Zang, Gengbei Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2020/8899189 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of Modal Parameters for Reinforcement of Walls in Earthen Ruins
by: Bei Liu, et al.
Published: (2021-01-01) -
On the Use of Weighted Least Squares for Time Domain Modal Parameter Identification
by: Jonathan E. Cooper
Published: (2004-01-01) -
Modal Parameter Identification from Output Data Only: Equivalent Approaches
by: Joseph Lardies
Published: (2015-01-01) -
Modal Parameters Identification Method Based on Symplectic Geometry Model Decomposition
by: Hang Jin, et al.
Published: (2019-01-01) -
A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data
by: Manolis Georgioudakis, et al.
Published: (2018-01-01)