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We need to create a a function that will allow you to create a stress series of data which can be subsequently used to either calculate degradation in the chamber or calculate an acceleration factor using another tool.
The entry would be a list of **kwargs where there are standardized cycles such as TC, HF, DH... and some preprogrammed sequences such as that found in IEC 61730 or IEC 61215. Additionally, one could specify an arbitray sequence with calling parameters such as T, RH, Irr, Irr-spectrum, light source, chamber equilibration time, sample equilibration time...
The output would be a time series of data with of an arbitrary time step including T, RH, Irr, V data, and meta data for the spectrum and other relevant parameters.
Once the function is created, we would want there to be a tool that will simplify the creation of an *.csv file that can be read as if it was a weather file with weather.read().
The text was updated successfully, but these errors were encountered:
We need to create a a function that will allow you to create a stress series of data which can be subsequently used to either calculate degradation in the chamber or calculate an acceleration factor using another tool.
The entry would be a list of **kwargs where there are standardized cycles such as TC, HF, DH... and some preprogrammed sequences such as that found in IEC 61730 or IEC 61215. Additionally, one could specify an arbitray sequence with calling parameters such as T, RH, Irr, Irr-spectrum, light source, chamber equilibration time, sample equilibration time...
The output would be a time series of data with of an arbitrary time step including T, RH, Irr, V data, and meta data for the spectrum and other relevant parameters.
Once the function is created, we would want there to be a tool that will simplify the creation of an *.csv file that can be read as if it was a weather file with weather.read().
The text was updated successfully, but these errors were encountered: