pyOMA.core.PreProcessingTools#

pyOMA - A toolbox for Operational Modal Analysis Copyright (C) 2015 - 2025 Simon Marwitz, Volkmar Zabel, Andrei Udrea et al.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see <https://www.gnu.org/licenses/>.

Todo

  • correct linear,…. offsets as well

  • implement loading of different filetypes ascii, lvm, …

  • currently loading geometry, etc. files will overwrite existing assignments implement “load and append”

  • add test to tests package

Functions

SDOF_ambient([N, fs])

load_measurement_file(fname, **kwargs)

assign this function to the class before instantiating the object PreProcessSignals.load_measurement_file = load_measurement_file

main()

spectral_estimation()

system_frf([N, fmax, L, E, rho, A, zeta])

Classes

GeometryProcessor([nodes, lines, parent_childs])

conventions:

PreProcessSignals(signals, sampling_rate[, ...])

A simple pre-processor for signals * load ascii datafiles * specify sampling rate, reference channels * specify geometry, channel-dof-assignments * specify channel quantities such as acceleration, velocity, etc * remove (constant) offsets from signals * decimate signals * compute correlation functions and power spectral densities * filter signals

SignalPlot(prep_signals)

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