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Identification of anomalies in microphone array measurements of trailing edge noise by eigenstructure analysis.
- Source :
-
Journal of the Acoustical Society of America . Feb2023, Vol. 153 Issue 2, p1073-1083. 11p. - Publication Year :
- 2023
-
Abstract
- An eigenstructure analysis is used to identify anomalies in large acoustic array measurements of airfoil trailing edge noise. Cross-spectra of 102 microphones distributed in a spiral configuration were inspected considering a range of inflow conditions and airfoil configurations. A measurement expectation is set by repeat measurements of non-anomalous data and is used for the analysis of additional data. This method is based solely on the comparison between the eigenstructure of cross-spectral matrices and can be used to efficiently inspect data for anomalies without having to beamform, as is conventional. Thus, processing and reviewing beamform maps can be relegated to post-processing after the experiment when more time is available. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00014966
- Volume :
- 153
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of the Acoustical Society of America
- Publication Type :
- Academic Journal
- Accession number :
- 162170613
- Full Text :
- https://doi.org/10.1121/10.0016863