Sentence examples for damage intensity from inspiring English sources

On the contrary, damage intensity prediction is significantly affected by noise for low damage intensity.

To find damage intensity averaged over damage location.

The capability of SVM to predict damage intensity is good at high damage intensity and deteriorates with increase in noise.

% error = | Damage intensity predicted − Damage intensity actual | Damage intensity actual × 100 Open image in new window (16) Open image in new window Figure 2 Format of data used for SVM analysis for prediction of intensity for a fixed location.

Inspection of these figures shows that error in the damage intensity prediction by SVM is high for low damage intensity (15% to 25%) at increased noise level.

Open image in new window Figure 3 Error in damage intensity prediction for noise-free data.

The worst level of noise (30 dB) results in 11% to 22% error for damage intensities higher than 25% and a much higher error at lower damage intensities.

High noise causes significant deterioration in performance at damage intensities lower than 25%.

The displacements of the beam at the first mode shape for all the damage intensities except 15% are fed to the SVM as training input and the corresponding damage intensities as training output.

Four experimental tests were performed to evaluate the methodologies, applying two damage intensities.

Twelve damage intensities have been simulated at each of the 12 locations using ABAQUS®, thus giving 144 simulations.