The study of the safety importance analysis method on A / B classification for periodic test surveillance
Authors
Xiao-Yu Liang, Zi-Jun Yang, Liang Mei
Corresponding Author
Xiao-Yu Liang
Available Online August 2016.
- DOI
- 10.2991/eesed-16.2017.18How to use a DOI?
- Keywords
- Periodic Test Surveillance; Safety importance analysis; A / B Classification
- Abstract
Currently, the Periodic Test Surveillance has too much test items with different importance, and there is no different management requirement for the test items with different safety affect. The method described in this article can divided these test items in importance(mark A) and non-importance (mark B).This method is an integrated evaluation method, that is deterministic impact analysis as based, supplemented by probabilistic safety assessment method. This ensures accuracy and reasonableness of evaluation results.
- Copyright
- © 2017, 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/).
Cite this article
TY - CONF AU - Xiao-Yu Liang AU - Zi-Jun Yang AU - Liang Mei PY - 2016/08 DA - 2016/08 TI - The study of the safety importance analysis method on A / B classification for periodic test surveillance BT - 2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016) PB - Atlantis Press SP - 138 EP - 144 SN - 2352-5401 UR - https://doi.org/10.2991/eesed-16.2017.18 DO - 10.2991/eesed-16.2017.18 ID - Liang2016/08 ER -