Advanced digital signal processing technique for neutron flux measurement in a nuclear power plant

Trama, J.-C.; Lescop, B.; Aussignac, P.; Falaise, J.; Lefevre, J.; Nguyen, Tuan Khai; Pasdeloup, P.; Sudres, C.

doi:10.1109/nssmic.2000.949435

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Extended Kalman filter (EKF) is utilized for optimal estimation of neutron flux level and reactor period information. The neutron flux and the reactor period have the relationship [17,18]:…”

Section: Application Of the Extended Kalman Filter Algorithmmentioning

confidence: 99%

Digitalization of the Ex-Core Neutron Flux Monitoring System for APR1400 Nuclear Power Plant

et al. 2020

View full text Add to dashboard Cite

This work studied the feasibility of digitalizing the analog Ex-Core Neutron Flux Monitoring System (ENFMS) being used for APR1400 nuclear power plants (NPPs) and as to which strategies and steps must be taken. A fission chamber neutron flux detection and instrumentation model were designed. Its accuracy was evaluated and proven by comparing the model data with data gathered from tests and plant operations. A conceptual design was proposed through a combined structure that digitalizes only part of the system. The detector signal pre-amplification remains in analog form while the other functions such as reactor power calculation as well as signal conditioning and processing will be digitalized. Simulations showed that the true mean squared voltage (MSV) of the digitalized ENFMS maintained a linear relationship between real and estimated reactor power in the wide range compared to averaged magnitude squared value of analog ENFMS. Extended Kalman Filter (EKF) was also utilized for estimating reactor power and reactor period from measurement signals that are contaminated with gamma ray interaction and electric noise. This study proved that the ENFMS can be successfully digitalized as proposed wherein all functional and performance requirements are satisfied. Simulations results demonstrated that the functions and performance can be improved through the use of digital processing algorithms such as EKF and MSV.

show abstract

Section: Application Of the Extended Kalman Filter Algorithmmentioning

confidence: 99%