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Industrial process surveillance system

  • US 5,764,509 A
  • Filed: 06/19/1996
  • Issued: 06/09/1998
  • Est. Priority Date: 06/19/1996
  • Status: Expired due to Term
First Claim
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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.

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