A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute Reliability
Assessing the health of complex systems is crucial for reducing failure risks and ensuring long-term stability and reliability. The Belief Rule Base (BRB) method effectively evaluates systems by combining observational data with expert knowledge. However, it faces challenges such as rule explosion,...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10741533/ |
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| author | Qian Deng Shaohua Li Cuiping Yang Ning Ma Wei He |
| author_facet | Qian Deng Shaohua Li Cuiping Yang Ning Ma Wei He |
| author_sort | Qian Deng |
| collection | DOAJ |
| description | Assessing the health of complex systems is crucial for reducing failure risks and ensuring long-term stability and reliability. The Belief Rule Base (BRB) method effectively evaluates systems by combining observational data with expert knowledge. However, it faces challenges such as rule explosion, unreliable attributes, and uncertainty in expert knowledge. This paper proposes the Approximate Belief Rule Base with Attribute Reliability (ABRB-r) to address these issues. The ABRB-r model simplifies rule combinations by using a linear structure and considers attribute correlations to minimize interdependence effects. It incorporates attribute reliability into the inference process to enhance rule matching and dynamically adjusts activation weights to reflect expert knowledge uncertainty. A case study on diesel engines demonstrates the method’s effectiveness, significantly improving the accuracy and reliability of health state assessments. |
| format | Article |
| id | doaj-art-4a723e37acbf4ef4b7a6a4bd60958e9e |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-4a723e37acbf4ef4b7a6a4bd60958e9e2024-11-12T00:01:08ZengIEEEIEEE Access2169-35362024-01-011216226816228110.1109/ACCESS.2024.349070110741533A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute ReliabilityQian Deng0https://orcid.org/0009-0005-6131-3531Shaohua Li1https://orcid.org/0000-0002-4229-9886Cuiping Yang2https://orcid.org/0009-0009-2026-0698Ning Ma3Wei He4https://orcid.org/0000-0003-4523-8242School of Computer Science and Information Engineering, Harbin Normal University, Harbin, ChinaSchool of Innovation and Entrepreneurship, Dalian University of Foreign Languages, Dalian, ChinaSchool of Computer Science and Information Engineering, Harbin Normal University, Harbin, ChinaSchool of Computer Science and Information Engineering, Harbin Normal University, Harbin, ChinaSchool of Computer Science and Information Engineering, Harbin Normal University, Harbin, ChinaAssessing the health of complex systems is crucial for reducing failure risks and ensuring long-term stability and reliability. The Belief Rule Base (BRB) method effectively evaluates systems by combining observational data with expert knowledge. However, it faces challenges such as rule explosion, unreliable attributes, and uncertainty in expert knowledge. This paper proposes the Approximate Belief Rule Base with Attribute Reliability (ABRB-r) to address these issues. The ABRB-r model simplifies rule combinations by using a linear structure and considers attribute correlations to minimize interdependence effects. It incorporates attribute reliability into the inference process to enhance rule matching and dynamically adjusts activation weights to reflect expert knowledge uncertainty. A case study on diesel engines demonstrates the method’s effectiveness, significantly improving the accuracy and reliability of health state assessments.https://ieeexplore.ieee.org/document/10741533/Approximate belief rule baseattribute reliabilitycomplex systemshealth state assessment |
| spellingShingle | Qian Deng Shaohua Li Cuiping Yang Ning Ma Wei He A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute Reliability IEEE Access Approximate belief rule base attribute reliability complex systems health state assessment |
| title | A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute Reliability |
| title_full | A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute Reliability |
| title_fullStr | A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute Reliability |
| title_full_unstemmed | A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute Reliability |
| title_short | A New Health State Assessment Method for Complex Systems Based on Approximate Belief Rule Base With Attribute Reliability |
| title_sort | new health state assessment method for complex systems based on approximate belief rule base with attribute reliability |
| topic | Approximate belief rule base attribute reliability complex systems health state assessment |
| url | https://ieeexplore.ieee.org/document/10741533/ |
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