System state monitoring using recurrent local learning machine

Details System state monitoring using recurrent local learning machine System state monitoring using recurrent local learning machine

2008-07-22

2008-07-22

Barlow, Jr., John E (Department: 2863)

Data processing: measuring, calibrating, or testing

Measurement system

Performance or efficiency evaluation

Reexamination Certificate

active

11119322

ABSTRACT:
Reference data observations for given system are used to develop a reference set of such observations. Subsequent observations (comprising, in one embodiment, current observations) are then used to facilitate selection of portions of this reference set to yield a resultant set of observations that serves as a model. This model can then be used in comparison to actual system performance to detect, for example, a trend towards a faulty condition. Pursuant to a preferred approach, the model is recomputed from time to time and, pursuant to a particular embodiment, is recomputed with each new set of current observations.

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