Donald A Bertke327 Tanglewood Dr, Dayton, OH 45440

2003006, Apr 3, 2003

Sep 28, 2001

09/967022

Peter Raeth - Beavercreek OH, US
Randall Bostick - Springboro OH, US
Donald Bertke - Beavercreek OH, US

G06N003/08
G06F015/18
G05B013/02

700/031000, 700/030000, 700/044000, 700/028000

A detection system for detecting unusual or unexpected conditions in an environment monitored by one or more sensors generating a data samples for input to the detection system. The detection system includes a predictive signal processor that identifies unexpected data samples output by the sensors. The predictive signal processor includes at least one prediction model M for predicting subsequent data samples of a data stream S input to M from the sensors. M uses past sensor data samples of S that correspond anticipated environmental conditions for iteratively predicting a subsequent likely sensor data sample from S. If there is a sufficient variance between the actual subsequent sensor data of S, and it's corresponding prediction, then a likely event of interest is identified. When the predictive signal processor is not detecting a likely event of interest due to a prediction by M, M iteratively adapts its predictions according to the most recent input data samples. When the predictive signal processor detects a likely event of interest due to a prediction by M, M does not use the data samples received during the detection for determining subsequent predictions. Thus, M processes its stream of data samples differently depending on a variance in its prediction from the corresponding actual data sample.