crop

Import and View Tire Measurement Data

Import tire measurement data into a tireData object, td.

td = tireData("example_data.tdx");

Multiple Fz conditions are included in the data. Use the split function to separate the data by elapsed time et, resulting in eight tireData objects.

td = split(td,"et");

Use the plot function to view the lateral force versus the slip angle using the normal force to assign colors and legend values.

plot(td, DataVariableNames=["alpha","Fy"],ColorBy="Fz");

Crop Data Using Logical Vector

Create a logical vector using true values to indicate the indices of the data to remove. The logical vector must be the same length as the data channel vectors in each tireData object.

tf = false(length(td(1).alpha),1);
tf(end-19:end) = true;

Use the crop function to remove the data at the indices indicated by the logical vector tf.

tdCrop = crop(td,tf);

Plot Result

Plot the resulting tireData objects in tdCrop to visualize the modified data set.

plot(tdCrop,DataVariableNames=["alpha","Fy"],ColorBy="Fz");

Crop Data Using Numeric Vector

Create a numeric vector using integer values to indicate the indices of the data to remove.

idx = find(tf);

Use the crop function to remove the data at the indices indicated by the integer vector idx.

tdCrop = crop(td,idx);

Plot Result

Plot the resulting tireData objects in tdCrop to visualize the modified data set.

plot(tdCrop,DataVariableNames=["alpha","Fy"],ColorBy="Fz");

Crop Data Using MATLAB Expression

Create a MATLAB expression string using data channel names to define the data to crop. This approach is useful when arrays of tireData objects have various lengths for data channels.

expression = "abs(alpha) > deg2rad(10)";

Use the crop function to remove the data that results in the MATLAB expression expression evaluating to true.

tdCrop = crop(td,expression);

Plot Result

Plot the resulting tireData objects in tdCrop to visualize the modified data set.

plot(tdCrop,DataVariableNames=["alpha","Fy"],ColorBy="Fz");