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Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy
The failure mode and effects analysis (FMEA) is a commonly adopted approach in engineering failure analysis, wherein the risk priority number (RPN) is utilized to rank failure modes. However, assessments made by FMEA experts are full of uncertainty. To deal with this issue, we propose a new uncertai...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217640/ https://www.ncbi.nlm.nih.gov/pubmed/37238555 http://dx.doi.org/10.3390/e25050800 |
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author | Wu, Lei Tang, Yongchuan Zhang, Liuyuan Huang, Yubo |
author_facet | Wu, Lei Tang, Yongchuan Zhang, Liuyuan Huang, Yubo |
author_sort | Wu, Lei |
collection | PubMed |
description | The failure mode and effects analysis (FMEA) is a commonly adopted approach in engineering failure analysis, wherein the risk priority number (RPN) is utilized to rank failure modes. However, assessments made by FMEA experts are full of uncertainty. To deal with this issue, we propose a new uncertainty management approach for the assessments given by experts based on negation information and belief entropy in the Dempster–Shafer evidence theory framework. First, the assessments of FMEA experts are modeled as basic probability assignments (BPA) in evidence theory. Next, the negation of BPA is calculated to extract more valuable information from a new perspective of uncertain information. Then, by utilizing the belief entropy, the degree of uncertainty of the negation information is measured to represent the uncertainty of different risk factors in the RPN. Finally, the new RPN value of each failure mode is calculated for the ranking of each FMEA item in risk analysis. The rationality and effectiveness of the proposed method is verified through its application in a risk analysis conducted for an aircraft turbine rotor blade. |
format | Online Article Text |
id | pubmed-10217640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102176402023-05-27 Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy Wu, Lei Tang, Yongchuan Zhang, Liuyuan Huang, Yubo Entropy (Basel) Article The failure mode and effects analysis (FMEA) is a commonly adopted approach in engineering failure analysis, wherein the risk priority number (RPN) is utilized to rank failure modes. However, assessments made by FMEA experts are full of uncertainty. To deal with this issue, we propose a new uncertainty management approach for the assessments given by experts based on negation information and belief entropy in the Dempster–Shafer evidence theory framework. First, the assessments of FMEA experts are modeled as basic probability assignments (BPA) in evidence theory. Next, the negation of BPA is calculated to extract more valuable information from a new perspective of uncertain information. Then, by utilizing the belief entropy, the degree of uncertainty of the negation information is measured to represent the uncertainty of different risk factors in the RPN. Finally, the new RPN value of each failure mode is calculated for the ranking of each FMEA item in risk analysis. The rationality and effectiveness of the proposed method is verified through its application in a risk analysis conducted for an aircraft turbine rotor blade. MDPI 2023-05-15 /pmc/articles/PMC10217640/ /pubmed/37238555 http://dx.doi.org/10.3390/e25050800 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wu, Lei Tang, Yongchuan Zhang, Liuyuan Huang, Yubo Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy |
title | Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy |
title_full | Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy |
title_fullStr | Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy |
title_full_unstemmed | Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy |
title_short | Uncertainty Management in Assessment of FMEA Expert Based on Negation Information and Belief Entropy |
title_sort | uncertainty management in assessment of fmea expert based on negation information and belief entropy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217640/ https://www.ncbi.nlm.nih.gov/pubmed/37238555 http://dx.doi.org/10.3390/e25050800 |
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