Advantage of using the fourier components pair instead of power spectral density for fatigue crack diagnostics

Keyphrases

• Condition Diagnostics 20%
• Condition Monitoring 20%
• Damage Detection 40%
• Density Feature 20%
• Density-based Approach 20%
• Diagnostic Feature Extraction 20%
• Diagnostic Features 40%
• Fatigue Crack 100%
• Fisher Criterion 20%
• Fourier Components 100%
• Fourier Transform 20%
• Frequency Domain Data 20%
• Gaussian Excitation 20%
• Generic Approach 100%
• Health Damage 20%
• Health Monitoring 20%
• Monitoring Feature 20%
• Narrowband 20%
• New Diagnostics 40%
• Nonlinear Model 20%
• Numerical Examples 40%
• Oscillation 20%
• Power Spectral Density 100%
• Relative Size 20%
• Synthetic Signals 40%

Engineering

• Condition Monitoring 20%
• Damage Detection 40%
• Fatigue Crack 100%
• Feature Extraction 20%
• Fourier Component 100%
• Fourier Transform 20%
• Frequency Domain 20%
• Gaussians 20%
• Health Monitoring 20%
• Imaginary Part 20%
• Nonlinear Model 20%
• Numerical Example 40%
• Power Spectral Density 100%
• Real Part 20%