Method for detecting anomalies in a signal
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United States of America Patent
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Apr 13, 2004
Grant Date -
N/A
app pub date -
Mar 6, 2000
filing date -
Jan 31, 2000
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Abstract
A method for detecting anomalies in a digitized complex signal analyzed by a detection unit, including a machine learning and a diagnosis of the intensity and/or the rarity of an anomaly, the learning including the steps of: 1.1 selecting sequences of values of the signal; 1.2 transforming the signal to extract therefrom characteristics of a type easily extracted by a human eye; and 1.3 reducing number n of digital data by an automatic compression; the diagnosis including the steps of: 2.1 applying steps 1.1 to 1.3 to a polling window (F.sub.k) likely to include an anomaly; 2.2 comparing the obtained vector with a reference defined according to the same transformation and compression structure.
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