Vibration engine neural network object monitoring

Author

Scott Thomas Maine

Abstract

"The purpose of this thesis is to explore the possibility of utilizing neural network architecture for the detection of excessive vibration, ice accretion on the fan section of a turbo-fan engine, and to monitor engine health through the high-pressure turbine section of the engine. Turbo-fan engines are utilized as the primary propulsion for both the military and commercial aircraft. It is the premise of this paper that present systems for vibration detection are not adequate in providing information to the flight crews about the engine operational health.--Introduction, page 1.

Department(s)

Engineering Management and Systems Engineering

Degree Name

M.S. in Systems Engineering

Publisher

University of Missouri--Rolla

Publication Date

Spring 2004

Pagination

ix, 71 pages

Rights

© 2004 Scott Thomas Maine, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Subject Headings

Vibration (Aeronautics)
Airplanes -- Turbofan engines
Neural networks (Computer science)

Thesis Number

T 8510

Print OCLC #

56585470

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

Recommended Citation

Maine, Scott Thomas, "Vibration engine neural network object monitoring" (2004). Masters Theses. 2519.
https://scholarsmine.mst.edu/masters_theses/2519