| タイトル | Automated Monitoring with a BSP Fault-Detection Test |
| 本文（外部サイト） | http://hdl.handle.net/2060/20110024002 |
| 著者（英） | Bickford, Randall L.; Herzog, James P. |
| 著者所属（英） | Expert Microsystems, Inc. |
| 発行日 | 2003-12-01 |
| 言語 | eng |
| 内容記述 | The 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. |
| NASA分類 | Man/System Technology and Life Support |
| レポートNO | MFS-31590 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
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