Methods for improved forewarning of critical events across...

Details Methods for improved forewarning of critical events across... Methods for improved forewarning of critical events across...

2007-04-24

2007-04-24

Barbee, Manuel L. (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system

Performance or efficiency evaluation

C702S182000, C702S019000

Reexamination Certificate

active

10667045

ABSTRACT:
This disclosed invention concerns improvements in forewarning of critical events via phase-space dissimilarity analysis of data from mechanical devices, electrical devices, biomedical data, and other physical processes. First, a single channel of process-indicative data is selected that can be used in place of multiple data channels without sacrificing consistent forewarning of critical events. Second, the method discards data of inadequate quality via statistical analysis of the raw data, because the analysis of poor quality data always yields inferior results. Third, two separate filtering operations are used in sequence to remove both high-frequency and low-frequency artifacts using a zero-phase quadratic filter. Fourth, the method constructs phase-space dissimilarity measures (PSDM) by combining of multi-channel time-serial data into a multi-channel time-delay phase-space reconstruction. Fifth, the method uses a composite measure of dissimilarity (Ci) to provide a forewarning of failure and an indicator of failure onset.

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“Reconstructing embedding spaces of coupled dynamical systems from multivariate data”, S. Boccaletti et al., The American Physical Society, Physical Review E, vol. 65 035204-1, published Feb. 21, 2002.

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