Quality classification of uranium dioxide pellets for PWR reactor using ANFIS

Dede Sutarya, Benyamin Kusumo Putro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An ANFIS networks was used for classifying quality of green pellets for PWR reactor. It applied several physical indicators for classification; height; volume; weight and density. A total of 200 data sets of observation data was collected from one lot final compacting process of uranium dioxide pellets for PWR type reactors in the laboratory of experimental fuel element installation (IEBE) BATAN and used for training and testing the model. The performance criterion selected for the comparison between the actual and the estimated data are the root mean square error (RMSE), maximum relative error (MRE), and goodness of fit (R 2). Up to 90% of the data could be correctly classified using this model. It is applicable in evaluation and classification of pellets quality.

Original languageEnglish
Title of host publicationTENCON 2011 - 2011 IEEE Region 10 Conference
Subtitle of host publicationTrends and Development in Converging Technology Towards 2020
Pages118-122
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2011
Event2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011 - Bali, Indonesia
Duration: 21 Nov 201124 Nov 2011

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Conference

Conference2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020, TENCON 2011
CountryIndonesia
CityBali
Period21/11/1124/11/11

Keywords

  • adaptive neuro fuzzy inference system
  • classification
  • uranium dioxide pellets quality

Fingerprint Dive into the research topics of 'Quality classification of uranium dioxide pellets for PWR reactor using ANFIS'. Together they form a unique fingerprint.

  • Cite this

    Sutarya, D., & Putro, B. K. (2011). Quality classification of uranium dioxide pellets for PWR reactor using ANFIS. In TENCON 2011 - 2011 IEEE Region 10 Conference: Trends and Development in Converging Technology Towards 2020 (pp. 118-122). [6129075] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2011.6129075