1995
DOI: 10.1016/0266-3538(95)00121-2
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Real-time frequency determination of acoustic emission for different fracture mechanisms in carbon/epoxy composites

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Cited by 366 publications
(189 citation statements)
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“…Recently, Ono and Huang (1996), Prosser et al (1995), Kloua et al (1995), andde Groot et al (1995) applied the transient waveform analysis for AE source recognition. Methods of pattern recognition analysis and neural networks were used for the AE signal classifications.…”
Section: Acoustic Emission Analysis Of Damage Mechanismsmentioning
confidence: 99%
“…Recently, Ono and Huang (1996), Prosser et al (1995), Kloua et al (1995), andde Groot et al (1995) applied the transient waveform analysis for AE source recognition. Methods of pattern recognition analysis and neural networks were used for the AE signal classifications.…”
Section: Acoustic Emission Analysis Of Damage Mechanismsmentioning
confidence: 99%
“…The other signal features including amplitude, duration, rise time and energy can be also correlated with the defect characteristics [48]. Additionally, because different damages could result in different frequency contents, the spectrum of the AE s i g n a l c a n b e c a l c u l a t e d f o r d a m a g e discrimination [49]. Using the time information of AE signals, AE source location can be realized.…”
Section: Acoustic Emission Methodsmentioning
confidence: 99%
“…As these structural woven fabrics are attracting the attention of the aerospace industry, the monitoring of initiation and progression of transverse matrix cracking is of considerable interest and importance, since they can lead to delamination and fibre breakage, which result to ultimate failure. [17] 50-150 kHz ----140-180 kHz [18] 30-150 kHz 30-100 kHz 180-290 kHz 300-400 kHz [19] 80-130 kHz --250-410 kHz 250-410 kHz [13] ~ 300 kHz --300 kHz >500 kHz [20] 50-180 kHz 220-300 kHz 180-220 kHz >300 kHz [21] 90-110 kHz --200-300 kHz > 420 kHz [22] <50 kHz 200-300 kHz 500-600 kHz 400-500 kHz [23] ~ 140 kHz ~300 kHz --~ 405 kHz [24] …”
Section: Damage Monitored By Acoustic Emissionmentioning
confidence: 99%