Application of neutron noise analysis to a swimming pool research reactor

Behringer, K.; Lescano, V.H.; Meier, F.; Phildius, J.; Winkler, H. Eugene

doi:10.1016/0149-1970(82)90031-2

Cited by 5 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Essential information on instrument calibration and verification, as well as on instrumentation/equipment/plant condition monitoring, can be found in [4][5][6][7][8][9]. Additionally, two relevantcomplementary to one another, yet each comprehensive in its own focus and domain of interestreviews of the literature on human/operational and computational intelligence (CI)based OLM appear in [10] and [11], respectively.…”

Section: On-line Monitoring Of Nuclear Reactorsmentioning

confidence: 99%

A Study on the Minimum Requirements for the On-Line, Efficient and Robust Validation of Neutron Detector Operation and Monitoring of Neutron Noise Signals using Harmony Theory Networks

Tambouratzis¹,

Pantera²,

Stulik³

2020

Computer Science &Amp; Information Technology (CS &Amp; IT)

View full text Add to dashboard Cite

On-line monitoring (OLM) of nuclear reactors (NRs) incorporatesamong other prioritiesthe concurrent verification of (i) valid operation of the NR neutron detectors (NDs) and (ii) soundness of the captured neutron noise (NN) signals (NSs) per se. In this piece of research, efficient, timely, directly reconfigurable and non-invasive OLM is implemented for providing swiftyet precisedecisions upon the (i) identities of malfunctioning NDs and(ii) locations of NR instability/unexpected operation. The use of Harmony Theory Networks (HTNs)is put forward to this end, with the results demonstrating the ability of these constraint-satisfaction artificial neural networks (ANNs) to identify(a) the smallest possible set of NDs which, configured into (b) the minimum number of 3-tuples of NDs operating on(c) the shortest NS time-window possible, instigate maximally efficient and accurate OLM. A proof-of-concept demonstration on the set of eight ex-core NDs and corresponding NSs of a simulated Pressurized Water nuclear Reactor (PWR) exhibits(i) significantly higher efficiency, at(ii) no detriment to localization accuracy, when employing only (iii) half of the original NDs and corresponding NSs, which are configured in (iv) a total of only two (out of the 56 combinatorially possible)3-tuples of NDs. Follow-up research shall investigate the scalability of the proposed methodology on the more extensive and homogeneous (i.e. "harder" in terms of ND/NS cardinality as well as of ranking/selection) dataset of the 36 in-core NSs of the same simulated NR.

show abstract