An Approach of Converter Transformer Condition Evaluation Based on The Belief Rule Base Inference Methodology and Evidence Reasoning

DOI

10.2991/iccte-16.2016.148How to use a DOI?

Keywords

converter transformer; condition evaluation; belief rule base; evidential reasoning; RIMER

Abstract

Various types of low-level indexes and uncertainty of evaluation information due to quantitative index and qualitative index exist in converter transformer condition evaluation. To solve this problem, a novel converter transformer condition evaluation approach based on the belief rule base inference methodology and evidence reasoning (RIMER) is proposed. It firstly builds rule base with belief structure and transforms input information to a pre-defined form, then calculates the activation weight of input, after that using evidence reasoning for index aggregation to get the final evaluation distribution. At last, a converter transformer condition evaluation in the 500kv converter station is investigated to illustrate the usage of the methodology and its advantages.

Copyright

© 2016, 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  - Qi Long
AU  - Yi Li
AU  - Yong Sun
AU  - Shaojun Yang
AU  - Qing Li
AU  - Youping Fan
PY  - 2016/01
DA  - 2016/01
TI  - An Approach of Converter Transformer Condition Evaluation Based on The Belief Rule Base Inference Methodology and Evidence Reasoning
BT  - Proceedings of the 2016 International Conference on Civil, Transportation and Environment
PB  - Atlantis Press
SP  - 856
EP  - 861
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-16.2016.148
DO  - 10.2991/iccte-16.2016.148
ID  - Long2016/01
ER  -