Title :
An intelligent system for monitoring the microgravity environment quality on-board the International Space Station
Author_Institution :
Dept. of Mech. Eng., Cleveland State Univ., OH
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 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
Keywords :
aerospace expert systems; backpropagation; computerised monitoring; condition monitoring; digital simulation; fuzzy logic; intelligent control; pattern classification; self-organising feature maps; space vehicles; vibration measurement; International Space Station; Kohonen´s self-organizing feature map; back propagation neural network; fuzzy logic; intelligent system; learning vector quantization; level of confidence; microgravity environment; monitoring; vibrating source activation; Acceleration; Computerized monitoring; Data analysis; Frequency domain analysis; Intelligent sensors; Intelligent systems; International Space Station; NASA; Pattern recognition; Space shuttles;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE
Conference_Location :
Budapest
Print_ISBN :
0-7803-6646-8
DOI :
10.1109/IMTC.2001.929570
