An intelligent system for monitoring the microgravity environment quality on-board the International Space Station

Author

Lin, Paul P. ; Jules, Kenol

Author_Institution

Mech. Eng. Dept., Cleveland State Univ., OH, USA

Volume

51

Issue

5

fYear

2002

fDate

10/1/2002 12:00:00 AM

Firstpage

1002

Lastpage

1009

Abstract

An intelligent system for monitoring the microgravity environment quality on-board the International Space Station is presented. The monitoring system uses a new approach combining Kohonen´s self-organizing feature map, learning vector quantization, and a back propagation neural network to recognize and classify the known and unknown patterns. Finally, fuzzy logic is used to assess the level of confidence associated with each vibrating source activation detected by the system.

Keywords

aerospace instrumentation; backpropagation; fuzzy logic; learning (artificial intelligence); pattern recognition; self-organising feature maps; space vehicles; vector quantisation; zero gravity experiments; International Space Station; back propagation neural network; fuzzy logic; intelligent system; known patterns; learning vector quantization; microgravity environment quality; self-organizing feature map; unknown patterns; vibrating source activation; Acceleration; Data analysis; Frequency; Intelligent systems; International Space Station; Monitoring; Neural networks; Pattern recognition; Space shuttles; Vector quantization;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2002.806016

Filename

1174031