PMID- 11572347
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20011011
LR  - 20190515
IS  - 0001-4966 (Print)
IS  - 0001-4966 (Linking)
VI  - 110
IP  - 3 Pt 1
DP  - 2001 Sep
TI  - Mode isolation: a new algorithm for modal parameter identification.
PG  - 1371-8
AB  - Multiple degree of freedom (MDOF) algorithms are the dominant methods for 
      extracting modal parameters from measured data. These methods are founded on the 
      notion that because the response of a linear dynamic system is the sum of many 
      modal contributions, the extraction technique must deal with all of the modal 
      parameters in a simultaneous fashion. The Mode Isolation Algorithm (MIA) 
      described here is a frequency domain formulation that takes an alternative 
      viewpoint. It extracts the modal parameters of each mode in an iterative search, 
      and then refines the estimation of each mode by isolating its effect from the 
      other modal contributions. The first iteration estimates modes in a hierarchy of 
      their dominance. As each mode is estimated, its contribution is subtracted from 
      the data set, until all that remains is noise. The second and subsequent 
      iterations subtract the current estimates for all other modes to identify the 
      properties of the mode under consideration. The various operations are described 
      in detail, and then illustrated using data from a four-degree-of-freedom system 
      that was previously used to assess the Eigensystem Realization Algorithm (ERA) 
      and Enhanced ERA. Eigenvalues and mode shapes are compared for each algorithm. 
      Another example analyzes simulated data for a cantilever beam with three 
      suspended one-degree-of-freedom subsystems, in which the parameters are adjusted 
      to bring two natural frequencies into close proximity. The results suggest that 
      MIA is more accurate, and more robust in the treatment of noisy data, than either 
      ERA version, and that it is able to identify modes whose bandwidth is comparable 
      to the difference of adjacent natural frequencies.
FAU - Drexel, M V
AU  - Drexel MV
AD  - The George W Woodruff School of Mechanical Engineering, Georgia Institute of 
      Technology, Atlanta 30332, USA.
FAU - Ginsberg, J H
AU  - Ginsberg JH
LA  - eng
PT  - Journal Article
PL  - United States
TA  - J Acoust Soc Am
JT  - The Journal of the Acoustical Society of America
JID - 7503051
EDAT- 2001/09/27 10:00
MHDA- 2001/09/27 10:01
CRDT- 2001/09/27 10:00
PHST- 2001/09/27 10:00 [pubmed]
PHST- 2001/09/27 10:01 [medline]
PHST- 2001/09/27 10:00 [entrez]
AID - 10.1121/1.1385902 [doi]
PST - ppublish
SO  - J Acoust Soc Am. 2001 Sep;110(3 Pt 1):1371-8. doi: 10.1121/1.1385902.