Statistically Qualified Neuro-Analytic system and Method for Process Monitoring

PDF Version Also Available for Download.

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 … continued below

Physical Description

38 p.

Creation Information

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

Context

This patent is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 17 times. More information about this patent can be viewed below.

Who

People and organizations associated with either the creation of this patent or its content.

Sponsor

Publisher

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

Contact Us

What

Descriptive information to help identify this patent. Follow the links below to find similar items on the Digital Library.

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

Source

  • Patent File Date: 1998 Nov 04

Language

Item Type

Identifier

Unique identifying numbers for this patent in the Digital Library or other systems.

  • 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

Collections

This patent is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

What responsibilities do I have when using this patent?

When

Dates and time periods associated with this patent.

Creation Date

  • November 4, 1998

Added to The UNT Digital Library

  • Sept. 29, 2015, 5:31 a.m.

Description Last Updated

  • March 13, 2019, 1:44 p.m.

Usage Statistics

When was this patent last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 17

Interact With This Patent

Here are some suggestions for what to do next.

Start Viewing

PDF Version Also Available for Download.

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Vilim, Richard B.; Garcia, Humberto E. & Chen, Frederick W. Statistically Qualified Neuro-Analytic system and Method for Process Monitoring, patent, November 4, 1998; Illinois. (https://digital.library.unt.edu/ark:/67531/metadc718413/: accessed April 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

Back to Top of Screen