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Condition Monitoring of Fatigue Cracks in Machinery Blades
L. Gelman
Cranfield University
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peer-review
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Keyphrases
Fatigue Crack
100%
Condition Monitoring
100%
Power Spectral Density
100%
Numerical Examples
50%
Diagnostic Features
25%
Oscillation
25%
Fourier Transform
25%
Vibration Excitation
25%
Narrowband
25%
Nonlinear Model
25%
Density-based Approach
25%
Numerical Results
25%
New Diagnostics
25%
Generic Approach
25%
Crack Detection
25%
Uncracked
25%
Engineering
Condition Monitoring
100%
Fatigue Crack
100%
Power Spectral Density
100%
Numerical Example
50%
Fourier Transform
25%
Experimental Result
25%
Nonlinear Model
25%
Real Part
25%
Imaginary Part
25%
Crack Detection
25%
Material Science
Fatigue Crack
100%
Density
100%
Crack Detection
25%