TY - GEN
T1 - Estimation of Radiation Source Distribution Using Structure Information for Fukushima Daiichi Nuclear Power Plant Reactor
AU - Chao, Ziheng
AU - Komatsu, Ren
AU - Woo, Hanwool
AU - Tamura, Yusuke
AU - Yamashita, Atsushi
AU - Asama, Hajime
N1 - Funding Information:
This work was supported by JAEA Nuclear Energy SandT and Human Resource Development Project
Funding Information:
V. ACKNOWLEDGMENT This work was supported by JAEA Nuclear Energy S&T and Human Resource Development Project.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This study proposes a highly accurate method for estimating the distribution of radiation sources, using a particle filter of the Bayesian estimation framework, which incorporates the structural information of the reactor at the Fukushima Daiichi Nuclear Power Plant as the prior information. From the experimental result, unlike the maximum likelihood estimation method, our method performed well in an extreme measurement environment where the detector could not reach, and showed high accuracy in the estimation of the point-like and the distributed radiation sources.
AB - This study proposes a highly accurate method for estimating the distribution of radiation sources, using a particle filter of the Bayesian estimation framework, which incorporates the structural information of the reactor at the Fukushima Daiichi Nuclear Power Plant as the prior information. From the experimental result, unlike the maximum likelihood estimation method, our method performed well in an extreme measurement environment where the detector could not reach, and showed high accuracy in the estimation of the point-like and the distributed radiation sources.
UR - http://www.scopus.com/inward/record.url?scp=85126260601&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85126260601&partnerID=8YFLogxK
U2 - 10.1109/SII52469.2022.9708811
DO - 10.1109/SII52469.2022.9708811
M3 - Conference contribution
AN - SCOPUS:85126260601
T3 - 2022 IEEE/SICE International Symposium on System Integration, SII 2022
SP - 1030
EP - 1035
BT - 2022 IEEE/SICE International Symposium on System Integration, SII 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE/SICE International Symposium on System Integration, SII 2022
Y2 - 9 January 2022 through 12 January 2022
ER -