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 Laboratory (ANL), Argonne, IL (United States)
- OSTI Identifier:
- 871513
- Patent Number(s):
- 5745382
- Assignee:
- ARCH Development Corporation (Chicago, IL)
- Patent Classifications (CPCs):
-
G - PHYSICS G05 - CONTROLLING G05B - CONTROL OR REGULATING SYSTEMS IN GENERAL
G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- 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 = {Thu Jan 01 00:00:00 EST 1998},
month = {Thu Jan 01 00:00:00 EST 1998}
}
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Works referenced in this record:
Review of Neural Networks for Speech Recognition
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- 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