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An Intelligent System for Monitoring the Microgravity Environment Quality On-Board the International Space StationAn 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 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.
Document ID
20020081297
Acquisition Source
Glenn Research Center
Document Type
Technical Memorandum (TM)
Authors
Lin, Paul P.
(Cleveland State Univ. Cleveland, OH United States)
Jules, Kenol
(NASA Glenn Research Center Cleveland, OH United States)
Date Acquired
September 7, 2013
Publication Date
August 1, 2002
Subject Category
Spacecraft Instrumentation And Astrionics
Report/Patent Number
NASA/TM-2002-211809
E-13504
NAS 1.15:211809
Meeting Information
Meeting: 2001 Instrumentation and Measurement Technology Conference
Location: Budapest
Country: Hungary
Start Date: May 21, 2001
End Date: May 23, 2001
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
PROJECT: RTOP 400-35-4C
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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