Analysis of the results of an incomplete factorial experiment using data on the relative aging rate of cellulose insulation as an example

Authors

  • Polyakov M.O.
  • Lenok A.A.
  • Polyakov O.M.

DOI:

https://doi.org/10.34185/1562-9945-3-152-2024-09

Keywords:

experimental data processing, interpolation, extrapolation, Matlab functions, aging rate of insulation.

Abstract

The problem with the distortion of the results of an uneven factorial experiment is the limited range and uneven duration of variation among other variables. This reduces the accuracy of the calculated value of the function. The method of investigation is to in-crease the magnitude of the value of the sought function using experimental data. The research method involves the development of a technique for interpolation and extrapola-tion of experimental data using various functions in the Matlab package. The result of the investigation is a technique that allows you to create a uniform grid of reference values, fill them in at the required time, change them, extrapolate data between the data space, and then feed this argument into the function є zero, see the insertion of additional ar-guments in the valued function, synthesize the valued functions in new nodes support grid value. The application of a standardized technique for molding the high value of liq-uid fluidity of the old cellulose insulation of power transformer windings as a function of temperature, moisture and access to acidity, which allowed at least 4.5 times, was intro-duced. increase the amount of data equal to the experiment.

References

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https://doi: 10.1109/TDEI.2023.3338582.

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Published

2024-04-17