Changes in the mean hearing threshold levels in military aircraft maintenance conscripts.

Arch Environ Occup Health

a Department of Occupational and Environmental Medicine , Chonnam National University Hwasun Hospital, Hwasun-gun , Republic of Korea.

Published: November 2016

Aircraft maintenance crews are constantly exposed to severe aircraft noise. The purpose of this study was to verify whether noise from aircraft adversely affects the hearing threshold levels (HTLs) of aircraft maintenance conscripts during their 2 years of mandatory military service. This study included 3,000 male aircraft maintenance conscripts who work in the military runway area. We measured and analyzed HTLs at 2-4 kHz. The duration of exposure to noise increased with an increase in rank; however, HTLs showed a tendency to decrease. We attributed such contradicting results to the learning effect and adaptation to military service. However, we suspected that sudden deafness in 6 conscripts (0.2%) was due to loud noise in the runway area during military service. The effectiveness of the hearing conservation program for short-term military service personnel could be increased by focusing on preventing sudden deafness and preenlistment baseline audiogram tests.

Download full-text PDF

Source
http://dx.doi.org/10.1080/19338244.2015.1136588DOI Listing

Publication Analysis

Top Keywords

aircraft maintenance
16
military service
16
maintenance conscripts
12
hearing threshold
8
threshold levels
8
runway area
8
sudden deafness
8
military
6
aircraft
6
changes hearing
4

Similar Publications

This study aimed to develop silver nanoparticles embedded in poly(ricinoleic acid)-poly(methyl methacrylate)-poly(ethylene glycol) (AgNPsPRici-PMMA-PEG) nanoparticles (NPs) containing caffeic acid (Caff) and tetracycline hydrochloride (TCH) for treating infections and cancer in bone defects. The block copolymers were synthesised via free radical polymerisation. NPs were prepared using the solvent evaporation method and characterised by FTIR, HNMR, SEM, DSC, TGA, and DLS.

View Article and Find Full Text PDF

Addressing Gearbox Health Monitoring Challenges for Helicopters: A Machine Learning Approach.

An Acad Bras Cienc

December 2024

Instituto Tecnológico de Aeronáutica (ITA), Departamento de Sistema Aeroespaciais, Pca. Mal. Eduardo Gomes, 50, 12228-900 São José dos Campos, SP, Brazil.

The transmission gearbox of military helicopters, such as the H225M, experiences intense dynamic loads, leading to the detachment of ferromagnetic particles, often due to wear or fatigue. This poses safety risks, as excessive particle detachment demands stringent maintenance. To address this, the study applies machine learning algorithms to predict particle detachment using data from the Flight Data Recorder and Health and Usage Monitoring System.

View Article and Find Full Text PDF

Runway surface friction is critically important to safe aircraft operations and mostly depends on the surface texture, which provides grip in the presence of contamination and directly affects the friction coefficient in general. Microtexture assessment is the most challenging part of texture assessment since there is no standardised pavement microtexture control method in runway maintenance and management practice. The purpose of this study was to develop a simple laser profilometer and analysis model and subsequent validation for use in runway friction surveys.

View Article and Find Full Text PDF

Enhanced Fatigue Crack Detection in Complex Structure with Large Cutout Using Nonlinear Lamb Wave.

Sensors (Basel)

October 2024

Research Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

The large cutout structure is a key component in the bottom skin of an airplane wing, and is susceptible to developing fatigue cracks under service loads. Early fatigue crack detection is crucial to ensure structural safety and reduce maintenance costs. Nonlinear Lamb wave techniques show significant potential in microcrack monitoring.

View Article and Find Full Text PDF

A bio-inspired looming detection for stable landing in unmanned aerial vehicles.

Bioinspir Biomim

November 2024

Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment, School of Electrical Engineering, Guangxi University, Nanning 530004, People's Republic of China.

Article Synopsis
  • Flying insects like flies and bees have developed the ability to land safely by using visual cues, which is an inspiration for improving UAV landing strategies.
  • * Our research focuses on a new approach for UAVs to land safely in unpredictable environments without needing accurate distance measurements, addressing a significant challenge in aerial technology.
  • * Experiments show that our new strategy, which employs a single camera, enables stable and effective landings in complex settings while introducing a unique mechanism for triggering the final landing phase.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!