Principal Components of Superhigh-Dimensional Statistical Features and Support Vector Machine for Improving Identification Accuracies of Different Gear Crack Levels under Different Working Conditions

<div>The analyses of the gear crack data: (a) the waveform of Daubechies 44; (b) the gear data with crack level 0%; (c) the gear data with crack level 100%; (d) the absolute wavelet coefficients of the gear data with crack level 0%; (e) the absolute wavelet coefficients of the gear data with crack level 100%.</div>

Shock and Vibration

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Figure 2

Figure 2: Principal Components of Superhigh-Dimensional Statistical Features and Support Vector Machine for Improving Identification Accuracies of Different Gear Crack Levels under Different Working Conditions 

Figure 2 | Principal Components of Superhigh-Dimensional Statistical Features and Support Vector Machine for Improving Identification Accuracies of Different Gear Crack Levels under Different Working Conditions 