Adaptive modeling of changed states in predictive condition monitoring
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United States of America Patent
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Jun 19, 2007
Grant Date -
Sep 19, 2002
app pub date -
Feb 27, 2001
filing date -
Jan 19, 2001
priority date (Note) -
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Abstract
An improved empirical model-based surveillance or control system for monitoring or controlling a process or machine provides adaptation of the empirical model in response to new operational states that are deemed normal or non-exceptional for the process or machine. An adaptation decision module differentiates process or sensor upset requiring alerts from new operational states not yet modeled. A retraining module updates the empirical model to incorporate the new states, and a pruning technique optionally maintains the empirical model by removing older states in favor of the added new states recognized by the model.
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