Current transformer saturation correction using artificial neural networks
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United States of America Patent
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-
Jun 12, 2001
Grant Date -
N/A
app pub date -
Mar 24, 1999
filing date -
Aug 13, 1998
priority date (Note) -
Expired
status (Latency Note)
Importance
Abstract
A method and apparatus of correcting for saturation in a current transformer, which outputs a current measurement, is provided. A switching algorithm receives a value of the current measurement from the current transformer and determines within which of three ranges the value falls. If the value falls in a first range, the current measurement is provided to a protective device such as a relay. If the value falls in a second range, the current measurement is provided to an artificial neural network that produces an output that accounts for saturation of the current transformer. If the value falls in a third range, the current measurement is provided to another artificial neural network that produces an output that accounts for saturation of the current transformer.
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