NDLI: Performance of a neural network for recognizing AC current demand signatures in the space shuttle telemetry data

Content Provider	IEEE Xplore Digital Library
Author	Lindblad, T. Hultberg, S. Lindsey, C.S. Shelton, R.O.
Copyright Year	1995
Description	Author affiliation: Dept. of Phys., R. Inst. of Technol., Stockholm, Sweden (Lindblad, T.; Hultberg, S.; Lindsey, C.S.)
Abstract	We describe performance of an analog neural network trained to identify signatures from the AC electrical power system on the Space Shuttle Orbiter. The network is based on the Intel ETANN analog neural network and identifies various electrical equipment from their transient signals. These signals are sampled during their first 6 seconds through a tapped analog delay line and presented to 60 input neurons. At a time resolution of 1/10 sec, the network will recognize the electrical "fingerprints" by producing a "true/false" pattern on the output layer. Results are discussed in terms of two learning paradigms (BP and MRIII) as well as details on the training and on the errors obtained. The network has also been extended to include "overlapping" signals.
Starting Page	1373
Ending Page	1377
File Size	439045
Page Count	5
File Format	PDF
ISBN	0780324455
DOI	10.1109/ACC.1995.520975
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-06-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Intelligent networks Space shuttles Tellurium Neurons Fingerprint recognition Space technology Power system transients Time of arrival estimation Signal processing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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