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

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2 Author(s)
P. P. Lin ; Dept. of Mech. Eng., Cleveland State Univ., OH ; K. Jules

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

Published in:

Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE  (Volume:3 )

Date of Conference:

2001