Noise analysis method for monitoring the moderator temperature coefficient of pressurized water reactors: Neural network calibration

Journal Article · Mon Aug 01 00:00:00 EDT 1994 · Nuclear Technology; (United States)

OSTI ID:6991885

Thomas, Jr, J R; Adams, J T ^[1]

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1. Virginia Polytechnic Inst. and State Univ., Blacksburg, VA (United States). Mechanical Engineering Dept.

A neural network was trained with data for the frequency response function between in-core neutron noise and core-exit thermocouple noise in a pressurized water reactor, with the moderator temperature coefficient (MTC) as target. The trained network was subsequently used to predict the MTC at other points in the same fuel cycle. Results support use of the method for operating pressurized water reactors provided noise data can be accumulated for several fuel cycles to provide a training base.

• OSTI ID: 6991885
• Journal Information: Nuclear Technology; (United States), Vol. 107:2; ISSN 0029-5450
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
MODERATORS
TEMPERATURE COEFFICIENT
PWR TYPE REACTORS
REACTOR MONITORING SYSTEMS
NEURAL NETWORKS
REACTOR NOISE
ENRICHED URANIUM REACTORS
POWER REACTORS
REACTIVITY COEFFICIENTS
REACTORS
THERMAL REACTORS
WATER COOLED REACTORS
WATER MODERATED REACTORS
220400* - Nuclear Reactor Technology- Control Systems
210200 - Power Reactors
Nonbreeding
Light-Water Moderated
Nonboiling Water Cooled