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

Published in:

IEEE Transactions on Instrumentation and Measurement  (Volume:51 ,  Issue: 5 )