Application of the ERA Method in Vibration Testing of Frame-Structured Material Feeding Bridges Under Ambient Excitation

Ambient excitation modal analysis falls under operational modal analysis (OMA), requiring only knowledge of the output signals from the investigated structure during the analytical process. The Eigensystem Realization Algorithm (ERA) is a time-domain analysis method for conducting modal analysis of structures under ambient excitation. This paper elaborates on the fundamental principles and computational methodology of ERA. Through field data acquisition of acceleration response from a frame-structured material feeding bridge in a biomass power plant subjected to random equipment-induced vibrations, wavelet denoising is employed to extract the free vibration response signals of the structure, effectively separating structural dynamics from noise contamination, ultimately facilitating modal parameter extraction for the feeding bridge through the ERA. The Modal Amplitude Coherence (MAC) was introduced to eliminate spurious modes and discriminate authentic structural modal parameters. Subsequent cross-verification with finite element analysis (FEA) results demonstrates that the ERA algorithm achieves superior precision in identifying dynamic parameters of frame structures under ambient excitation.

Authors

Publication Details

Journal
Advances in Engineering Technology Research
Published
2025-06-20
DOI
https://doi.org/10.56028/aetr.14.1.202.2025
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of the ERA Method in Vibration Testing of Frame-Structured Material Feeding Bridges Under Ambient Excitation

Bo Jin, Xiaodong Wei, Lixia Zhu
Advances in Engineering Technology Research
Structural Health Monitoring Techniques
article

Application of the ERA Method in Vibration Testing of Frame-Structured Material Feeding Bridges Under Ambient Excitation

Bo Jin, Xiaodong Wei, Lixia Zhu
article en

Abstract

Ambient excitation modal analysis falls under operational modal analysis (OMA), requiring only knowledge of the output signals from the investigated structure during the analytical process. The Eigensystem Realization Algorithm (ERA) is a time-domain analysis method for conducting modal analysis of structures under ambient excitation. This paper elaborates on the fundamental principles and computational methodology of ERA. Through field data acquisition of acceleration response from a frame-structured material feeding bridge in a biomass power plant subjected to random equipment-induced vibrations, wavelet denoising is employed to extract the free vibration response signals of the structure, effectively separating structural dynamics from noise contamination, ultimately facilitating modal parameter extraction for the feeding bridge through the ERA. The Modal Amplitude Coherence (MAC) was introduced to eliminate spurious modes and discriminate authentic structural modal parameters. Subsequent cross-verification with finite element analysis (FEA) results demonstrates that the ERA algorithm achieves superior precision in identifying dynamic parameters of frame structures under ambient excitation.

Advances in Engineering Technology ResearchVol. 14(1)
Openalex Percentile: Top 80%
Structural Health Monitoring Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Application of the ERA Method in Vibration Testing of Frame-Structured Material Feeding Bridges Under Ambient Excitation — Bo Jin, Xiaodong Wei, et al. · Advances in Engineering Technology Research (2025) | TGRS Research Map | TGRS