U-tube steam generator empirical model development and validation using neural networks

Conference · Wed Jan 01 04:00:00 EST 1992 · Transactions of the American Nuclear Society; (United States)

OSTI ID:7193459

Parlos, A G; Chong, K T ^[1]; Atiya, A ^[2]

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1. Texas A and M Univ., College Station (United States)
2. Dynamica, Inc., Houston, TX (United States)

Empirical modeling techniques that use model structures motivated from neural networks research have proven effective in identifying complex process dynamics. A recurrent multilayer perception (RMLP) network was developed as a nonlinear state-space model structure along with a static learning algorithm for estimating the parameter associated with it. The methods developed were demonstrated by identifying two submodels of a U-tube steam generator (UTSG), each valid around an operating power level. A significant drawback of this approach is the long off-line training times required for the development of even a simplified model of a UTSG. Subsequently, a dynamic gradient descent-based learning algorithm was developed as an accelerated alternative to train an RMLP network for use in empirical modeling of power plants. The two main advantages of this learning algorithm are its ability to consider past error gradient information for future use and the two forward passes associated with its implementation. The enhanced learning capabilities provided by the dynamic gradient descent-based learning algorithm were demonstrated via the case study of a simple steam boiler power plant. In this paper, the dynamic gradient descent-based learning algorithm is used for the development and validation of a complete UTSG empirical model.

• OSTI ID: 7193459
• Report Number(s): CONF-920606--
• Conference Information: Journal Name: Transactions of the American Nuclear Society; (United States) Journal Volume: 65
• Country of Publication: United States
• Language: English

Related Subjects

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
210200* -- Power Reactors
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Light-Water Moderated
Nonboiling Water Cooled
ACCURACY
ALGORITHMS
BOILERS
ENRICHED URANIUM REACTORS
IMPLEMENTATION
LEARNING
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
NEURAL NETWORKS
NONLINEAR PROBLEMS
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PERFORMANCE
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REACTORS
RESEARCH PROGRAMS
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THERMAL REACTORS
VALIDATION
VAPOR GENERATORS
WATER COOLED REACTORS
WATER MODERATED REACTORS