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1.
J Expo Sci Environ Epidemiol ; 28(6): 568-578, 2018 11.
Artículo en Inglés | MEDLINE | ID: mdl-29545611

RESUMEN

OBJECTIVE: To measure sound levels in the aircraft cabin during different phases of flight. METHODS: Sound level was measured on 200 flights, representing six aircraft groups using continuous monitors. A linear mixed-effects model with random intercept was used to test for significant differences in mean sound level by aircraft model and across each flight phase as well as by flight phase, airplane type, measurement location and proximity to engine noise. RESULTS: Mean sound levels across all flight phases and aircraft groups ranged from 37.6 to >110 dB(A) with a median of 83.5 dB(A). Significant differences in noise levels were also observed based on proximity to the engines and between aircraft with fuselage- and wing mounted engines. Nine flights (4.5%) exceeded the recommended 8-h TWA exposure limit of 85 dB(A) by the NIOSH and ACGIH approach, three flights (1.5%) exceeded the 8-h TWA action level of 85 dB(A) by the OSHA approach, and none of the flights exceeded the 8-h TWA action level of 90 dB(A) by the OSHA PEL approach. CONCLUSIONS: Additional characterization studies, including personal noise dosimetry, are necessary to document accurate occupational exposures in the aircraft cabin environment and identify appropriate response actions. FAA should consider applying the more health-protective NIOSH/ACGIH occupational noise recommendations to the aircraft cabin environment.


Asunto(s)
Aeronaves , Ruido del Transporte , Exposición Profesional/análisis , Monitoreo del Ambiente/métodos , Humanos , Modelos Lineales , National Institute for Occupational Safety and Health, U.S./normas , Estados Unidos , United States Occupational Safety and Health Administration/normas
2.
Sensors (Basel) ; 16(5)2016 Apr 29.
Artículo en Inglés | MEDLINE | ID: mdl-27136563

RESUMEN

Understanding acoustic events and monitoring their occurrence is a useful aspect of many research projects. In particular, acoustic goniometry allows researchers to determine the source of an event based solely on the sound it produces. The vast majority of acoustic goniometry research projects used custom hardware targeted to the specific application under test. Unfortunately, due to the wide range of sensing applications, a flexible general purpose hardware/firmware system does not exist for this purpose. This article focuses on the development of such a system which encourages the continued exploration of general purpose hardware/firmware and lowers barriers to research in projects requiring the use of acoustic goniometry. Simulations have been employed to verify system feasibility, and a complete hardware implementation of the acoustic goniometer has been designed and field tested. The results are reported, and suggested areas for improvement and further exploration are discussed.

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