citation.cff

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title: Modal Anaylsis with poly-reference Least Squares Comples Frequency method (p-LSCF)
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Raphael
    family-names: Trumpp
identifiers:
  - type: doi
    value: 10.5445/IR/1000156492
    description: The DOI of the thesis as PDF
  - type: url
    value: 'https://publikationen.bibliothek.kit.edu/1000156492'
    description: The thesis with metadata published by KITopen
repository-code: 'https://github.com/KIT-FAST/modalAnalysis-OMA-EMA'
abstract: >-
  Operational Modal Analysis (OMA) identifies the modal
  parameters (natural frequency, damping ratio and
  eigenform) of a structure from experimentally determined
  measured data. The special feature of the OMA is that the
  excitation of the structure is not measured and is thus
  unknown. Given the structure excitation by white noise,
  the power spectral density of the measured system response
  contains the complete information on the modal parameters.
  The poly-reference least squares complex frequency method
  (p-LSCF) is the current industry standard of OMA methods
  in the frequency domain. In a first least squares step,
  the stabilization diagram is constructed based on the
  parametric model to identify the stable poles of the
  structure. The eigenforms are determined in a second
  least-square step. This method can also identify closely
  spaced eigenmodes and provides clear, easily interpretable
  stabilization diagrams. Within the scope of this Bachelor
  thesis, the p-LSCF method was implemented as a fully
  automated program in MATLAB and verified by several data
  sets.
license: GPL-3.0