Research on Prediction Method of Life Cycle of Nuclear Power Equipment Based on Fuzzy Clustering

DOI

10.2991/pntim-19.2019.69How to use a DOI?

Keywords

Nuclear Power Equipment; Fuzzy Clustering; Life Cycle Prediction

Abstract

With the advancement of technology, mechanical equipment has entered a new stage of integration of machine and electricity, and nuclear power integrated equipment has been more and more widely used in production and life. Nuclear power plants provide a large source of electrical energy and become a strong source of radiation due to the accumulation of a large number of radioactive fission products. The safety level instrument control equipment shoulders the major responsibility of the safe and stable operation of the nuclear power plant and the protection of public safety. The quality appraisal of the equipment is the guarantee of its quality. Based on the degradation model of the service life design of nuclear power plant equipment, the degradation characterization index is calculated by fuzzy clustering, and the parameter correlation is eliminated, and the data of the service life of the nuclear power plant is finally obtained.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fu Chunliang
AU  - Wu Rongjun
AU  - Gong Linhua
AU  - Lin Jiangjing
PY  - 2019/11
DA  - 2019/11
TI  - Research on Prediction Method of Life Cycle of Nuclear Power Equipment Based on Fuzzy Clustering
BT  - Proceedings of the 2019 International Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)
PB  - Atlantis Press
SP  - 335
EP  - 339
SN  - 2589-4943
UR  - https://doi.org/10.2991/pntim-19.2019.69
DO  - 10.2991/pntim-19.2019.69
ID  - Chunliang2019/11
ER  -