Noise pattern recognition of airplanes taking off: task for a monitoring system

Authors:
Luis Pastor Sánchez Fernández;Oleksiy Pogrebnyak;José Luis Oropeza Rodríguez;Sergio Suárez Guerra
Affiliations:
Center for Computing Research, National Polytechnic Institute, Mexico City, Mexico;Center for Computing Research, National Polytechnic Institute, Mexico City, Mexico;Center for Computing Research, National Polytechnic Institute, Mexico City, Mexico;Center for Computing Research, National Polytechnic Institute, Mexico City, Mexico
Venue:
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Year:
2007

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Aircraft Classification and Acoustic Impact Estimation Based on Real-Time Take-off Noise Measurements

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Abstract

This paper presents an original work for aircraft noise monitoring systems and it analyzes the airplanes noise signals and a method to identify them. The method uses processed spectral patterns and a neuronal network feed-forward, programmed by means of virtual instruments. The obtained results, very useful in portable systems, make possible to introduce redundancy to permanent monitoring systems. The noise level in a city has fluctuations between 50 dB (A) and 100 dB (A). It depends on the population density and its activity, commerce and services in the public thoroughfare, terrestrial and aerial urban traffic, of the typical activities of labor facilities and used machinery, which give varied conditions that must be faced of diverse ways within the corresponding normalization. The sounds or noises that exceed the permissible limits, whichever the activities or causes that originate them, are considered events susceptible to degrade the environment and the health.