Hi,
To find the mean, median, and standard deviation of a series of data, you can make use of inbuilt functions "mean", "median", and "std", respectively. If your data is structured with time, such as a timetable, you can extract the relevant variable and perform the same calculations. Refer to an example implementation below:
% Sample data: phase currents in a machine with time (example data)
% Replace this with your actual data
time = datetime(2023,10,1,0,0,0):minutes(1):datetime(2023,10,1,0,9,0);
phase_currents = [1.2, 2.3, 2.1, 1.8, 2.5, 2.7, 1.9, 2.2, 2.4, 2.6]';
data = timetable(time', phase_currents);
% Extract the phase currents
currents = data.phase_currents;
% Calculate mean
mean_value = mean(currents);
% Calculate median
median_value = median(currents);
% Calculate standard deviation
std_deviation = std(currents);
% Display the results
fprintf('Mean: %.2f\n', mean_value);
fprintf('Median: %.2f\n', median_value);
fprintf('Standard Deviation: %.2f\n', std_deviation);
For more information on "mean", "median", and "std" functions, refer to the below documentations:
