| Patent application number | Description | Published |
|---|
| 20080270071 | NONPARAMETRIC METHOD FOR DETERMINATION OF ANOMALOUS EVENT STATES IN COMPLEX SYSTEMS EXHIBITING NON-STATIONARITY - According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events. | 10-30-2008 |
| 20100063773 | NONPARAMETRIC METHOD FOR DETERMINATION OF ANOMALOUS EVENT STATES IN COMPLEX SYSTEMS EXHIBITING NON-STATIONARITY - According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events. | 03-11-2010 |
| 20110119029 | Nonparametric Method for Determination of Anomalous Event States in Complex Systems Exhibiting Non-Stationarity - According to a feature of the present disclosure, a method is provided for the determination of anomalous events in complex systems, such as problems, inefficiencies, and failures, and a tool is provided for the detection of these events. Many complex systems are non-stationary or experience periodic fluctuations or spikes in values that are outside of normal ranges, but constitute normal behavior nevertheless. The method accounts for both non-stationarity, as well as fluctuations and spikes. Additional novel features include both a threshold setting initialization method and a regression method for the determination of the start points and end points of events. | 05-19-2011 |
