Abstract

The purpose of this thesis is to suggest the application of Active Noise Cancellation in Air Force pilot headset and helmet not only to reduce noise-induced hearing damage, but also to enhance pilot performance and aviation safety. Despite the recent advances of sound treatment technology, the interior sounds of a military aircraft exceed the damage risk criterion of 8 hrs/day exposure. Air Force pilots are flying under the extreme condition where noise is severe and prevalent. The exposure to noise can lead to permanent hearing loss, stress and fatigue, unintelligible communication, and deterioration of speech perception and recall. With all this in mind, the negative effects can result in the decrement of pilot performance which is foremost for the aviation safety since flight missions performed by Air Force pilots require robust concentration, analytical inference, accurate and appropriate movement, reliable performance, and long-lasting attention. The Republic of Korean Air Force (ROKAF) has introduced Passive Noise Cancellation (PNC) into conventional pilot helmets to deal with the issues above; however, it has not been proven yet that whether PNC is effective. On top of that, compared to cargo/helicopter pilots who can use aviation headset with Active Noise Cancellation (ANC), most fighter pilots are still using conventional pilot helmet without ANC except for F-35 fighter pilots. This research aimed (1) to analyze the effect of cockpit noise on hearing health, pilot performance, and aviation safety, (2) to examine the effectiveness of PNC in conventional pilot helmet, (3) to evaluate the usefulness of ANC in military aircrafts, and (4) to suggest the use of ANC in conventional fighter pilot helmet.

Notes

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Graduation Date

2022

Semester

Fall

Advisor

Lee, Gene

Degree

Master of Science in Industrial Engineering (M.S.I.E.)

College

College of Engineering and Computer Science

Department

Industrial Engineering and Management Systems

Degree Program

Industrial Engineering

Format

application/pdf

Identifier

CFE0009363; DP0027086

URL

https://purls.library.ucf.edu/go/DP0027086

Language

English

Release Date

December 2022

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

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