Research Article
Principal Components of Superhigh-Dimensional Statistical Features and Support Vector Machine for Improving Identification Accuracies of Different Gear Crack Levels under Different Working Conditions
Table 3
Comparisons of the prediction accuracies obtained by using the proposed method and the four methods reported in [16] (unit: %). (Note: methods 1 to 4 are used to distinguish three gear health conditions, while the proposed method is used to classify five gear health conditions.)
|