A smart pattern recognition system for the automatic identification of aerospace acoustic sourcesAn intelligent air-noise recognition system is described that uses pattern recognition techniques to distinguish noise signatures of five different types of acoustic sources, including jet planes, propeller planes, a helicopter, train, and wind turbine. Information for classification is calculated using the power spectral density and autocorrelation taken from the output of a single microphone. Using this system, as many as 90 percent of test recordings were correctly identified, indicating that the linear discriminant functions developed can be used for aerospace source identification.
Document ID
19890046380
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Cabell, R. H. (Virginia Polytechnic Inst. and State Univ. Blacksburg, VA, United States)
Fuller, C. R. (Virginia Polytechnic Institute and State University Blacksburg, United States)