Theses and Dissertations

Issuing Body

Mississippi State University

Advisor

Nail, James B.

Committee Member

Follett, Randolph F.

Committee Member

Younan, Nicholas H.

Date of Degree

5-12-2001

Original embargo terms

MSU Only Indefinitely

Document Type

Graduate Thesis - Campus Access Only

Major

Electrical Engineering

Degree Name

Master of Science

College

College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

This paper presents an exploratory study of aircraft engine fault indicators obtained from sound and vibration recordings. Observing time sequence and frequency spectra of the recordings, a simple yet cost-effective method of detecting engine fault is achieved. A detailed discussion of the study performed, ranging from the hardware and software selection, initial tests, and discoveries made in the time domain and subsequently in the frequency domain will be presented.

URI

https://hdl.handle.net/11668/19455

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