An Expert System for Aircraft Recognition Using Acoustics

Holding, John; Sheldon, Mark

doi:10.1177/002029400103400304

Cited by 1 publication

(1 citation statement)

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“…The first group includes the components of uncertainty associated with the measurement of aircraft noise at a particular monitoring location. The second group includes the components of uncertainty associated with any subsequent data analysis that may be carried out [2], [3], [4]. The overall accuracy of any type of measurement is limited by various sources of error or uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Noise Pattern Recognition of Airplanes Taking Off: Task for a Monitoring System

Fernández

Pogrebnyak

Rodríguez

et al.

Lecture Notes in Computer Science

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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.

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Section: Introductionmentioning

confidence: 99%