Investigating Rotor Conditions on Wind Turbines Using Integrating Tree Classifiers

Table 3

Features selected.

No. of features	Name of the features	Classification accuracy (%)
1	Sum	49.33
2	Range and sum	69.17
3	Standard deviation, range, and sum	80.00
4	Standard deviation, range, sum, and kurtosis	86.67
5	Kurtosis, standard deviation, range, sum, and mean	85.83
6	Median, kurtosis, standard deviation, range, sum, and mean	85.83
7	Mode, median, kurtosis, standard deviation, range, sum, and mean	85.83
8	Minimum, mode, median, kurtosis, standard deviation, range, sum, and mean	84.83
9	Maximum, minimum, mode, median, kurtosis, standard deviation, range, sum, and mean	84.83
10	Standard error, maximum, minimum, mode, median, kurtosis, standard deviation, range, sum, and mean	84.83
11	Skewness, standard error, maximum, minimum, mode, median, kurtosis, standard deviation, range, sum, and mean	83.67
12	Sample variance, skewness, standard error, maximum, minimum, mode, median, kurtosis, standard deviation, range, sum, and mean	83.00