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FME Transactions
2016, vol. 44, br. 4, str. 415-421
Nadgledana i ne-nadgledana klasifikacija AE podataka nano modifikovanih CFRP za vreme DCB testiranja
Fallahi N.a, Nardoni G.a, Heidary Hosseinb, Palazzetti R.c, Yan X.T.d, Zucchelli A.e
aI & T Nardoni Institute, Brescia, Italy
bTafresh University of Technology, Tafresh, Iran
cUniversity of Strathclyde, DMEM department, Glasgow, UK
dUniversity of Strathclyde, Glasgow, UK
eUniversity of Bologna, Bologna, Italy

e-adresa: hosseinheidary@gmail.com
Ključne reči: Acoustic emissions; Carbon-epoxy composites; Electrospinning; K-means; Artificial Neural Network
Sažetak
Cilj ovog rada je korišćenje emisije akustičnih zvukova za proučavanje uticaja electrospun Najlona 6.6 mat nano-vlakana ugljen-epoksidnim kompozitima tokom ispitivanja duple uklještene grede. Da bi se prepoznali efekti nano-vlakana i otkrili različiti mehanizmi oštećenja, K metoda grupisanja akustičnih signala koja je primenjena na porast vremena, energiju, trajanje i amplitudu događaja je primenjena. Nadzorom neuronske mreže koja je nakon toga primenjena se zatim proverava grupisanje signala. Rezultati su pokazali da grupisani emitovani zvučni signali su pouzdani alat za detekciju različitih mehanizama oštećenja; neuronska mreža je pokazala da metod ima 99 % tačnosti.
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O članku

jezik rada: engleski
vrsta rada: neklasifikovan
DOI: 10.5937/fmet1604415F
objavljen u SCIndeksu: 31.03.2017.
Creative Commons License 4.0

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