pyOMA.core.ERA.ERA#

class pyOMA.core.ERA.ERA(prep_signals)[source]#

Bases: object

__init__(prep_signals)[source]#: channel definition: channels start at 0

Methods

`CalculateFRF`()	function by anil FRF(Frequency response function) is convertion of signal from time to frequency domain.
`__init__`(prep_signals)	channel definition: channels start at 0
`build_hankel_matrix`(num_block_columns)	author: Anil Constructs a shifted hankel matrix.
`compute_modal_params`([max_model_order])
`compute_state_matrices`([max_model_order])
`load_state`(fname, prep_signals)
`remove_conjugates_new`(eigval, eigvec_r[, ...])	removes conjugates
`rescale_mode_shape`(modeshape)
`save_state`(fname)

CalculateFRF()[source]#: function by anil FRF(Frequency response function) is convertion of signal from time to frequency domain. The following function performs this conversion.

build_hankel_matrix(num_block_columns)[source]#: author: Anil Constructs a shifted hankel matrix.

compute_state_matrices(max_model_order=None)[source]#

static remove_conjugates_new(eigval, eigvec_r, eigvec_l=None)[source]#

removes conjugates

eigvec_l.shape = [order+1, order+1] eigval.shape = [order+1,1]