Магистерская диссертация тема работы Разработка цифрового двойника технологического процесса с использованием производственных данных

Окончание приложения Б

(справочное)

Листинг кода для подготовки данных

Drive1_SD_CU.Current = smoothedData

% Fill missing data

[cleanedData,missingIndices] = fillmissing(Drive1_SD_CU.Speed,'spline',...

'SamplePoints',Drive1_SD_CU.Time);

• 
  Display results clf
  

plot(Drive1_SD_CU.Time,cleanedData,'Color',[0 114 189]/255,'LineWidth',1.5,...

'DisplayName','Cleaned data') hold on

• 
  Plot filled missing entries
  

plot(Drive1_SD_CU.Time(missingIndices),cleanedData(missingIndices),'.',...

'MarkerSize',12,'Color',[217 83 25]/255,...

'DisplayName','Filled missing entries')

title(['Number of filled missing entries: ' num2str(nnz(missingIndices))])

hold off

legend

clear missingIndices

%Drive1_SD_CU.Speed = cleanedData

% Fill missing data

[cleanedData,missingIndices2] = fillmissing(Drive1_SD_CU.Current,'linear',...

'SamplePoints',Drive1_SD_CU.Time);

• 
  Display results clf
  

plot(Drive1_SD_CU.Time,cleanedData,'Color',[0 114 189]/255,'LineWidth',1.5,...

'DisplayName','Cleaned data') hold on

• 
  Plot filled missing entries
  

plot(Drive1_SD_CU.Time(missingIndices2),cleanedData(missingIndices2),'.',...

'MarkerSize',12,'Color',[217 83 25]/255,...

'DisplayName','Filled missing entries')

title(['Number of filled missing entries: ' num2str(nnz(missingIndices2))])

hold off

legend

clear missingIndices2

Drive1_SD_CU.Current = cleanedData

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