DocumentCode
1929694
Title
Missing sensor data restoration for vibration sensors on a jet aircraft engine
Author
Narayanan, Sreeram ; Vian, J.L. ; Choi, J.J. ; Mark, R.J. ; El-Sharkaw, M.A. ; Thompson, Benjamin B.
Author_Institution
Boeing Phantom Works, Boeing Co., Seattle, WA, USA
Volume
4
fYear
2003
fDate
20-24 July 2003
Firstpage
3007
Abstract
Using array historical data, the readings from a sensor array may be shown to contain sufficient redundancy such that the readings from one or more lost sensors may be able to be accurately estimated from those remaining. This interdependency can be established by an neural network encoder. The encoder is also used in the restoration process. In this paper, we give some examples of sensor restoration for vibration sensors on jet engine and computer traffic data.
Keywords
aircraft computers; encoding; jet engines; neural nets; vibration measurement; auto-associative regression machine; computer traffic data; jet aircraft engine; missing sensor data restoration; neural network encoder; vibration sensors; Aircraft propulsion; Computational intelligence; Frequency response; Imaging phantoms; Intelligent sensors; Jet engines; Neural networks; Sensor arrays; Testing; Vibration measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1224050
Filename
1224050
Link To Document