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Perspective development of diagnostic systems of aircraft structures and units
Author(s) -
С. В. Гущин,
Alexandr Polonsky
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/632/1/012094
Subject(s) - reliability (semiconductor) , perspective (graphical) , nondestructive testing , computer science , software , aircraft maintenance , systems engineering , reliability engineering , engineering , artificial intelligence , aerospace engineering , physics , power (physics) , quantum mechanics , programming language
The article deals with information-diagnostic systems of detection of defects and malfunctions as applied to aircraft structures and units. Methods. Analysis of modern methods of nondestructive testing is carried out. It is suggested to use the combined diagnostics of aircraft structures and systems with the use of vibrometry in combination with the determination of the appearance of metal particles in the oil, their quantity and size. The possibility of using acoustic emission is considered. Results. The article compares the accuracy and reliability of the inspection of aircraft parts, assemblies and systems by different methods. Conclusion. We have drawn conclusions about the prospects of the proposed method of diagnostics. It is shown that trained neural networks are able to provide information about the presence of defects, their size and location when working in the software of information-diagnostic systems.

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