A Novel Reliability Evaluation Method Based on RBD and AHP for Industrial Network Systems
Since each component has different impacts on reliability of the industrial network system, a multi-layer reliability evaluation method was proposed in this paper. Firstly, in order to construct multi-layer reliability evaluation system, a framework of industrial network system was introduced based...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2017-01-01
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201712804003 |
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author | Li Yongni Li Zhenxing Li Baiyi Hu Song |
author_facet | Li Yongni Li Zhenxing Li Baiyi Hu Song |
author_sort | Li Yongni |
collection | DOAJ |
description | Since each component has different impacts on reliability of the industrial network system, a multi-layer reliability evaluation method was proposed in this paper. Firstly, in order to construct multi-layer reliability evaluation system, a framework of industrial network system was introduced based on analytic hierarchy process (AHP). Secondly, a multi-layer reliability evaluation model with weight coefficient of components was proposed based on reliability block diagram (RBD). Thirdly, the simple rule-based fuzzy judgment and risk priority number (RPN) were applied to determining weight coefficient. Last, a reliability evaluation case of the industrial network system for an electronic automatic assembly line was studied. It shows that the proposed method is more reasonable than the conventional reliability analysis method, and the reliability prediction result is consistent with the engineering practice. |
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format | Article |
id | doaj.art-af0ac2400adf451f9b1599a7910bd1e3 |
institution | Directory Open Access Journal |
issn | 2261-236X |
language | English |
last_indexed | 2024-12-23T23:45:16Z |
publishDate | 2017-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | MATEC Web of Conferences |
spelling | doaj.art-af0ac2400adf451f9b1599a7910bd1e32022-12-21T17:25:31ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011280400310.1051/matecconf/201712804003matecconf_eitce2017_04003A Novel Reliability Evaluation Method Based on RBD and AHP for Industrial Network SystemsLi YongniLi ZhenxingLi BaiyiHu SongSince each component has different impacts on reliability of the industrial network system, a multi-layer reliability evaluation method was proposed in this paper. Firstly, in order to construct multi-layer reliability evaluation system, a framework of industrial network system was introduced based on analytic hierarchy process (AHP). Secondly, a multi-layer reliability evaluation model with weight coefficient of components was proposed based on reliability block diagram (RBD). Thirdly, the simple rule-based fuzzy judgment and risk priority number (RPN) were applied to determining weight coefficient. Last, a reliability evaluation case of the industrial network system for an electronic automatic assembly line was studied. It shows that the proposed method is more reasonable than the conventional reliability analysis method, and the reliability prediction result is consistent with the engineering practice.https://doi.org/10.1051/matecconf/201712804003 |
spellingShingle | Li Yongni Li Zhenxing Li Baiyi Hu Song A Novel Reliability Evaluation Method Based on RBD and AHP for Industrial Network Systems MATEC Web of Conferences |
title | A Novel Reliability Evaluation Method Based on RBD and AHP for Industrial Network Systems |
title_full | A Novel Reliability Evaluation Method Based on RBD and AHP for Industrial Network Systems |
title_fullStr | A Novel Reliability Evaluation Method Based on RBD and AHP for Industrial Network Systems |
title_full_unstemmed | A Novel Reliability Evaluation Method Based on RBD and AHP for Industrial Network Systems |
title_short | A Novel Reliability Evaluation Method Based on RBD and AHP for Industrial Network Systems |
title_sort | novel reliability evaluation method based on rbd and ahp for industrial network systems |
url | https://doi.org/10.1051/matecconf/201712804003 |
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