Document Type
Article
Publication Date
10-2002
Publication Title
IEEE Transactions on Instrumentation and Measurement
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.
Recommended Citation
Lin, P. P., & Jules, K. (2002). An intelligent system for monitoring the microgravity environment quality on-board the International Space Station. Ieee Transactions on Instrumentation and Measurement, 51, 5, 1002-1009.
DOI
10.1109/TIM.2002.806016
Version
Postprint
Publisher's Statement
© 2002 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Volume
51
Issue
5
