Function manual of meas

pylib_sakata.meas

MeasData

class pylib_sakata.meas.MeasData(list, value, time, dt)

• Parameters:
  • list: array of data list (str)
  • value: array of data value
  • time: 1-D array time data [s]
  • dt: sampling time of the time response data

getcsvdata

pylib_sakata.meas.getcsvdata(filePath)

This function is for getting measurement data from a csv file.

• Parameters:
  • filePath: csv file path of measurement file
• Returns:
  • instance of MeasData class

Examples

measdata = meas.getcsvdata('data\001-inject.csv')

gettxtdata

pylib_sakata.meas.gettxtdata(filePath)

This function is for getting measurement data from a txt file.

• Parameters:
  • filePath: txt file path of measurement file
• Returns:
  • instance of MeasData class

Examples

measdata = meas.gettxtdata('data\001-inject.txt')

getmatdata

pylib_sakata.meas.getmatdata(filePath)

This function is for getting measurement data from a mat file.

• Parameters:
  • filePath: mat file path of measurement file
• Returns:
  • instance of MeasData class

Examples

measdata = meas.getmatdata('data\001-inject.mat')

getdata

pylib_sakata.meas.getdata(filePath)

This function is for getting measurement data from a file.

• Parameters:
  • filePath: file path of measurement file (.csv, .txt, and .mat are supported.)
• Returns:
  • instance of MeasData class

Examples

measdata = meas.getdata('data\001-inject.csv')

measdata = meas.getdata('data\001-inject.txt')

measdata = meas.getdata('data\001-inject.mat')

getdataindex

pylib_sakata.meas.getdataindex(measdata, dataName)

• Parameters:
  • measdata: instance of MeasData class
  • dataName: data name
• Returns:
  • index: index of dataName

Examples

index = meas.getdataindex(measdata, 'ServoOut')

measdata2frd

pylib_sakata.meas.measdata2frd(filePath, inputName, outputName, flagName, freq, inputGain=1.0, outputGain=1.0, windivnum=4, overlap=0.5)

This function is for system identification from input and output time response data of measurement file.

• Parameters:
  • filePath: file path of measurement file (.csv, .txt, and .mat are supported.)
  • inputName: input data name in the measurement file
  • outputName: output data name in the measurement file
  • flagName: flag data name in the measurement file
  • freq: 1-D array frequency data [Hz]
  • inputGain: inputdata gain (Optional), Default: 1.0, unit of input can be fixed by this parameter.
  • outputGain: outputdata gain (Optional), Default: 1.0, unit of output can be fixed by this parameter.
  • dt: sampling time of the time response data
  • windivnum: number of windows to divide the time response data
  • overlap: overlap ratio divided time response data (0 <= overlap < 1)
• Returns:
  • freqresp: instance of FreqResp class
  • coh: 1-D array coherence data

Examples

import numpy as np
freq = np.logspace(np.log10(1.), np.log10(1000.), 10000, base=10)
freqresp, coh = measdata2frd('data\001-inject.csv', 'ServoOut', 'PosErrUm', 'FlagNoise', freq, 1., 1.e-6)