pyOMA.core.PostProcessingTools.MergePoSER#

class pyOMA.core.PostProcessingTools.MergePoSER[source]#

Bases: object

classdocs

__init__()[source]#

Constructor

Methods

__init__()

Constructor

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)[source]#

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