Remote AE Monitoring of Fatigue Crack Growth in Complex Aircraft Structures

0386201 - ÚT 2013 RIV ES eng C - Konferenční příspěvek (zahraniční konf.)
Chlada, Milan - Převorovský, Zdeněk
Remote AE Monitoring of Fatigue Crack Growth in Complex Aircraft Structures.
30th European Conference on Acoustic Emission Testing : 7th International Conference onAcoustic Emission. Granada: University of Granada, 2012 - (Gallego, A.; Ono, K.), s. 1-8. ISBN 978-84-615-9941-7.
[Europen Conference on Acoustic Emission Testing/30./ & International Conference on Acoustic Emission/7./. Granada (ES), 12.09.2012-15.09.2012]
Grant CEP: GA ČR(CZ) GAP104/10/1430; GA MPO(CZ) FR-TI1/274
Institucionální podpora: RVO:61388998
Klíčová slova: acoustic emission * source location * neural networks * arrival time profiles
Kód oboru RIV: BI - Akustika a kmity

Recently proposed AE source location method using so-called signal arrival time profiles and artificial neural networks (ANN) was applied to growing defect monitoring during long-term fatigue test of aircraft structures. The main goal of AE monitoring was to detect the growth of small cracks and to test the new AE source location methodology as a part of Structural Health Monitoring system. The remote long distance on-line monitoring of dangerous crack growth in critical aircraft structure parts was tested. The paper illustrates localization of large amount of AE events, mostly of unknown or unconfirmed source origin. All finally revealed cracks were predicted by AE before they became visible.
Trvalý link: http://hdl.handle.net/11104/0216161