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Automated Monitoring with a BSP Fault-Detection TestThe figure schematically illustrates a method and procedure for automated monitoring of an asset, as well as a hardware- and-software system that implements the method and procedure. As used here, asset could signify an industrial process, power plant, medical instrument, aircraft, or any of a variety of other systems that generate electronic signals (e.g., sensor outputs). In automated monitoring, the signals are digitized and then processed in order to detect faults and otherwise monitor operational status and integrity of the monitored asset. The major distinguishing feature of the present method is that the fault-detection function is implemented by use of a Bayesian sequential probability (BSP) technique. This technique is superior to other techniques for automated monitoring because it affords sensitivity, not only to disturbances in the mean values, but also to very subtle changes in the statistical characteristics (variance, skewness, and bias) of the monitored signals.
Document ID
20110024002
Acquisition Source
Marshall Space Flight Center
Document Type
Other - NASA Tech Brief
Authors
Bickford, Randall L.
(Expert Microsystems, Inc. United States)
Herzog, James P.
(Argonne National Lab. IL, United States)
Date Acquired
August 25, 2013
Publication Date
December 1, 2003
Publication Information
Publication: NASA Tech Briefs, December 2003
Subject Category
Man/System Technology And Life Support
Report/Patent Number
MFS-31590
Distribution Limits
Public
Copyright
Public Use Permitted.
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