초록 ▼

A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal opera

A system and method for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy.

대표청구항 ▼

[ What is claimed is:] [13.] A computerized system for monitoring at least one of an industrial process and industrial sensors, comprising:means for generating time varying data from a plurality of industrial sensors;computer means for executing a software module for processing the time varying data

[ What is claimed is:] [13.] A computerized system for monitoring at least one of an industrial process and industrial sensors, comprising:means for generating time varying data from a plurality of industrial sensors;computer means for executing a software module for processing the time varying data to determine optimum time correlation of the data accumulated from the plurality of industrial sensors;computer means for executing a software module for searching the time correlated data to identify maximum and minimum values for the data, thereby determining a full range of values for the data characteristic of the at least one of the industrial process and the industrial sensors;computer means for executing a software module for determining learned states of a normal operational condition of the at least one of the industrial process and the industrial sensors and using the learned states to generate expected values characteristic of at least one of the industrial process and the industrial sensors;computer means for executing a software module for comparing the expected values to current actual values characteristic of the at least one of the industrial process and the industrial sensors to identify a current state of the at least one of the industrial process and the industrial sensors closest to one of the learned states and generating a set of modeled data; andcomputer means for executing a software module for processing the modeled data to identify a pattern for the data and upon detecting a deviation from a pattern characteristic of normal operation of the at least one of the industrial process and the industrial sensors, an alarm is generated.