Neural network based system for equipment surveillance
Abstract
A method and system for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process.
- Inventors:
-
- Aurora, IL
- Bolingbrook, IL
- Glendale Hts., IL
- Issue Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- OSTI Identifier:
- 871513
- Patent Number(s):
- 5745382
- Assignee:
- ARCH Development Corporation (Chicago, IL)
- Patent Classifications (CPCs):
-
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02E - REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y10 - TECHNICAL SUBJECTS COVERED BY FORMER USPC Y10S - TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- DOE Contract Number:
- W-31109-ENG-38
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- neural; network; based; equipment; surveillance; method; performing; transient; signals; industrial; device; ascertain; operating; involves; steps; reading; memory; training; data; determining; weighting; values; achieving; target; outputs; close; output; inadequate; wavelet; parameters; determined; yield; desired; set; providing; characteristic; process; comparing; evaluate; process signals; neural network; industrial process; network based; training data; performing surveillance; desired set; neural net; transient signal; /706/702/
Citation Formats
Vilim, Richard B, Gross, Kenneth C, and Wegerich, Stephan W. Neural network based system for equipment surveillance. United States: N. p., 1998.
Web.
Vilim, Richard B, Gross, Kenneth C, & Wegerich, Stephan W. Neural network based system for equipment surveillance. United States.
Vilim, Richard B, Gross, Kenneth C, and Wegerich, Stephan W. Thu .
"Neural network based system for equipment surveillance". United States. https://www.osti.gov/servlets/purl/871513.
@article{osti_871513,
title = {Neural network based system for equipment surveillance},
author = {Vilim, Richard B and Gross, Kenneth C and Wegerich, Stephan W},
abstractNote = {A method and system for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {1}
}
Works referenced in this record:
Review of Neural Networks for Speech Recognition
journal, March 1989
- Lippmann, Richard P.
- Neural Computation, Vol. 1, Issue 1
Modular Construction of Time-Delay Neural Networks for Speech Recognition
journal, March 1989
- Waibel, Alex
- Neural Computation, Vol. 1, Issue 1