pyOMA.core.PostProcessingTools.MergePoSER

class pyOMA.core.PostProcessingTools.MergePoSER

Bases: object

Post-Separate Estimation and Re-scaling (PoSER) multi-setup merger.

Combines modal results from multiple measurement setups that share a common set of reference channels. Each setup is added via add_setup(); the merged frequencies, damping, and mode shapes are computed by merge_mode_shapes().

The resulting object has the same interface expected by ModeShapePlot for multi-setup results.

Notes

For each setup the following objects must be provided:

• prep_signals — PreProcessSignals with chan_dofs and ref_channels defined.

• modal_data — any ModalBase subclass with modal_frequencies, modal_damping, and mode_shapes.

• stabil_data — StabilCalc with select_modes set.

__init__()

Initialise an empty merger; add setups with add_setup().

Methods

__init__()	Initialise an empty merger; add setups with add_setup().
add_setup(prep_signals, modal_data, stabil_data)
export_results(fname[, binary])
load_state(fname)
merge([base_setup_num, mode_pairing])	generate new_chan_dofs assign modes from each setup
save_state(fname)

merge(base_setup_num=0, mode_pairing=None)

generate new_chan_dofs assign modes from each setup

::

for each mode:

for each setup:

rescale merge

Todo

• rescale w.r.t to the average solution from all setups rather than specifying a base setup

• compute scaling factors for each setup with each setup and average them for each setup before rescaling

• corresponding standard deviations can be used to asses the quality of fit