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Condition Monitoring of Fatigue Cracks in Machinery Blades
L. Gelman
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peer-review
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Engineering & Materials Science
Power spectral density
96%
Condition monitoring
88%
Machinery
81%
Fatigue of materials
58%
Cracks
57%
Crack detection
27%
Fourier transforms
20%
Physics & Astronomy
machinery
100%
blades
86%
cracks
65%
narrowband
19%
vibration
13%
oscillations
13%
excitation
10%