초록 ▼

This invention provides an improved alert generation system and method for trend performance analysis. A multi-variate abnormal condition detector normalizes data obtained from a process and classifies the data in a multi-dimensional space defined for the variables in the process. The normalized dat

This invention provides an improved alert generation system and method for trend performance analysis. A multi-variate abnormal condition detector normalizes data obtained from a process and classifies the data in a multi-dimensional space defined for the variables in the process. The normalized data are classified into either a normal or abnormal class. An alert evaluator evaluates the data classified in the abnormal class and determines whether the data are a true alert or a false alert. In another embodiment, the multi-variate abnormal condition detector and alert evaluator are used in parallel with a trend performance analysis tool to validate alerts generated therefrom.

대표청구항 ▼

1. A system for generating an alert from data obtained from a process, comprising:a normalizer for normalizing the data; a classifier for classifying the normalized data in a multi-dimensional space defined for a plurality of variables in the process, the normalized data classified into a normal cla

1. A system for generating an alert from data obtained from a process, comprising:a normalizer for normalizing the data; a classifier for classifying the normalized data in a multi-dimensional space defined for a plurality of variables in the process, the normalized data classified into a normal class or an abnormal class defined in the multi-dimensional variable space, wherein the normal class is indicative of normal operating conditions for the process and the abnormal class is indicative of potential alert conditions in the process; an alert level evaluator for evaluating a vigilance level of the classified data for related variables, said alert level evaluator increasing the vigilance level following a suspicious data reading data classified in the abnormal class and decreasing the vigilance level following a data reading classified in the normal class; and an alert score generator for generating an alert score for each of the related variables according to the vigilance level.