Fault Detection, Isolation and Identification of Formation Flying Satellites using Wavelet-Entropy and Neural Networks
The main objective of this thesis is to develop a fault detection, isolation and identification (FDII) scheme based on Wavelet Entropy (WE) and Artificial Neural Network (ANN) for reaction wheels (RW) that are employed as actuators in the attitude control subsystem (ACS) of a satellites to perform t...
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2013
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| Online Access: | http://spectrum.library.concordia.ca/976966/1/Faal_MASc_S2013.pdf Faal, Farshid <http://spectrum.library.concordia.ca/view/creators/Faal=3AFarshid=3A=3A.html> (2013) Fault Detection, Isolation and Identification of Formation Flying Satellites using Wavelet-Entropy and Neural Networks. Masters thesis, Concordia University. |
Internet
http://spectrum.library.concordia.ca/976966/1/Faal_MASc_S2013.pdfFaal, Farshid <http://spectrum.library.concordia.ca/view/creators/Faal=3AFarshid=3A=3A.html> (2013) Fault Detection, Isolation and Identification of Formation Flying Satellites using Wavelet-Entropy and Neural Networks. Masters thesis, Concordia University.