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:] [1.] A method for monitoring at least one of an industrial process and industrial sensors, comprising the steps of:generating time varying data from a plurality of industrial sensors;processing the time varying data to effectuate optimum time correlation of the data accumulate

[ What is claimed is:] [1.] A method for monitoring at least one of an industrial process and industrial sensors, comprising the steps of:generating time varying data from a plurality of industrial sensors;processing the time varying data to effectuate optimum time correlation of the data accumulated fi-om the plurality of industrial sensors;searching the time correlated data to identify maximum and minimum values for the data, thereby determining a full range of values for the data from the industrial process;determining learned states of a normal operational condition of the industrial process and using the learned states to generate expected values of the operating industrial process;comparing the expected values to current actual values of the industrial process to identify a current state of the industrial process closest to one of the learned states and generating a set of modeled data;processing the modeled data to identify a pattern for the data and upon detecting a deviation from a pattern characteristic of normal operation, an alarm is generated.