Table 8 Results of the classification DNN using χ2-selected features.

From: UAV propeller fault diagnosis using deep learning of non-traditional χ2-selected Taguchi method-tested Lempel–Ziv complexity and Teager–Kaiser energy features

UAV type processed dataset

Instances per dataset

Sampling

Repeat train/test

Test/train percentages

Accuracy

F1-score

Precision

Recall

Parrot Bebop 2

345

Random

5

25%, 75%

98.7%

98.7%

98.8%

98.7%

3DR Solo

345

Random

5

25%, 75%

99.6%

99.5%

99.5%

99.5%