Open AccessNon-Parametric Operational Modal Analysis Methods in Frequency Domain: A Systematic Review
Author(s) -
Elsa M. Cárdenas,
Luis Medina
Publication year - 2021
Publication title -
international journal of engineering and technology innovation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 8
eISSN - 2226-809X
pISSN - 2223-5329
DOI - 10.46604/ijeti.2021.6126
Subject(s) - modal , frequency domain , parametric statistics , modal analysis , operational modal analysis , modal testing , modal analysis using fem , time domain , algorithm , computer science , engineering , mathematics , structural engineering , mathematical analysis , statistics , materials science , finite element method , polymer chemistry , computer vision
The objective of this research is to present a systematic review of the non-parametric modal analysis methods in the frequency domain. Peak picking (PP), frequency domain decomposition (FDD), enhanced frequency domain decomposition (EFDD), and frequency–spatial domain decomposition (FSDD) are revisited and didactically illustrated by means of modal identification for a study case proposed in previous researches. Algorithm schemes are illustrated to summarize these frequency domain OMA techniques. Modal frequencies, modal damping ratios, and modal shapes are estimated using the different OMA techniques and compared to estimations obtained by the free decay (FD) method reported in previous researches. These are employed to compare the results obtained by the methods presented herein and show a very good correlation in obtaining modal frequencies and a low correlation in the case of modal damping.