Statistically Qualified Neuro-Analytic system and Method for Process Monitoring

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An apparatus and method for monitoring a process involves development and application of a statistically qualified neuro-analytic (SQNA) model to accurately and reliably identify process change. The development of the SQNA model is accomplished in two steps: deterministic model adaption and stochastic model adaptation. Deterministic model adaption involves formulating an analytic model of the process representing known process characteristics,augmenting the analytic model with a neural network that captures unknown process characteristics, and training the resulting neuro-analytic model by adjusting the neural network weights according to a unique scaled equation emor minimization technique. Stochastic model adaptation involves qualifying any remaining uncertainty ... continued below

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38 p.

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Vilim, Richard B.; Garcia, Humberto E. & Chen, Frederick W. November 4, 1998.

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Description

An apparatus and method for monitoring a process involves development and application of a statistically qualified neuro-analytic (SQNA) model to accurately and reliably identify process change. The development of the SQNA model is accomplished in two steps: deterministic model adaption and stochastic model adaptation. Deterministic model adaption involves formulating an analytic model of the process representing known process characteristics,augmenting the analytic model with a neural network that captures unknown process characteristics, and training the resulting neuro-analytic model by adjusting the neural network weights according to a unique scaled equation emor minimization technique. Stochastic model adaptation involves qualifying any remaining uncertainty in the trained neuro-analytic model by formulating a likelihood function, given an error propagation equation, for computing the probability that the neuro-analytic model generates measured process output. Preferably, the developed SQNA model is validated using known sequential probability ratio tests and applied to the process as an on-line monitoring system.

Physical Description

38 p.

Notes

OSTI as DE00782843

Medium: P; Size: 38 pages

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  • Patent File Date: 1998 Nov 04

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  • Report No.: PATENTS-US--A9186306
  • Grant Number: W-31-109-ENG-38
  • Office of Scientific & Technical Information Report Number: 782843
  • Archival Resource Key: ark:/67531/metadc718413

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Office of Scientific & Technical Information Technical Reports

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  • November 4, 1998

Added to The UNT Digital Library

  • Sept. 29, 2015, 5:31 a.m.

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  • April 12, 2017, 2:36 p.m.

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Vilim, Richard B.; Garcia, Humberto E. & Chen, Frederick W. Statistically Qualified Neuro-Analytic system and Method for Process Monitoring, patent, November 4, 1998; Illinois. (digital.library.unt.edu/ark:/67531/metadc718413/: accessed July 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.