Abstract
A new non-traditional signal processing approach to damage detection is presented. The proposed approach consists of using two new variables (monitoring features) simultaneously: the real and imaginary components of the Fourier transform taking into account covariance between these variables. Analytical comparison of the monitoring effectiveness of the proposed approach and three traditional approaches is performed. Numerical modeling and experimental results dealing with the fatigue crack and damping diagnostics in aircraft engine blades based on the proposed approach are presented. It is shown that the proposed approach offers an essential improvement in effectiveness of damage detection in comparison to the traditional approaches.
Original language | English |
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Title of host publication | 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference |
Publisher | American Institute of Aeronautics and Astronautics |
Pages | 4671-4683 |
Number of pages | 13 |
Volume | 6 |
ISBN (Electronic) | 9781624100796 |
DOIs | |
Publication status | Published - 2004 |
Externally published | Yes |
Event | 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference - Palm Springs, United States Duration: 19 Apr 2004 → 22 Apr 2004 Conference number: 45 https://arc.aiaa.org/doi/book/10.2514/MSDM04 |
Publication series
Name | Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference |
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Publisher | American Institute of Aeronautics and Astronautics |
Volume | 6 |
ISSN (Print) | 0273-4508 |
Conference
Conference | 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference |
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Country/Territory | United States |
City | Palm Springs |
Period | 19/04/04 → 22/04/04 |
Internet address |