Comparison of two (geometric) algorithms for auto OMA

Martin Juul, Peter Olsen, Ole Balling, Sandro Diord Rescinho Amador, Rune Brincker

Research output: Contribution to conferencePaperResearchpeer-review

Abstract

In this paper we compare two geometric algorithms for automatic Operational Modal Analysis(OMA). The compared algorithms are the Shortest Path Algorithm (SPA) that considers shortest paths in the set of poles and the Smallest Sphere Algorithm (SSA) that operates on the set of identified poles to find the set of smallest spheres, containing physical poles. Both algorithm are based on sliding filter stability diagrams recently introduced by Olsen et. al. We show how the two algorithms identify system parameters of a simulated system, and illustrate the difference between the identified parameters. The two algorithms are compared and illustrated on simulated data. Different choices of distance measures are discussed and evaluated. It is illustrated how a simple distance measure outperforms traditional distance measures from other Auto OMA algorithms. Traditional measures are unable to discriminate between modes and noise.
Original languageEnglish
Publication date2018
Number of pages3
Publication statusPublished - 2018
Event36th International Modal Analysis Conference - Orlando, United States
Duration: 12 Feb 201815 Feb 2018
Conference number: 36

Conference

Conference36th International Modal Analysis Conference
Number36
CountryUnited States
CityOrlando
Period12/02/201815/02/2018

Keywords

  • System Identification
  • Automated Operational Modal Analysis
  • Sliding Filter Stability
  • Distance Measure
  • Smallest Sphere Algorithm
  • Shortest Path Algorithm

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