RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES
In order to solve the limitations of traditional methods in the reliability assessment of complex systems with multi-states and difficult to obtain accurate failure rates, and the problems of T-S fault tree in the system reliability analysis, such as complex calculation and inverse reasoning, etc.,...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2022-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.02.014 |
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| author | HU QiGuo DU ChunChao CAO LiJie SHENG HuiMin |
| author_facet | HU QiGuo DU ChunChao CAO LiJie SHENG HuiMin |
| author_sort | HU QiGuo |
| collection | DOAJ |
| description | In order to solve the limitations of traditional methods in the reliability assessment of complex systems with multi-states and difficult to obtain accurate failure rates, and the problems of T-S fault tree in the system reliability analysis, such as complex calculation and inverse reasoning, etc., a reliability assessment method based on T-S fault tree and interval-valued fuzzy multi-state Bayesian network is proposed. Based on the analysis of the T-S fault tree, it is mapped into a Bayesian network. In the existing fuzzy Bayesian network reliability analysis method, the interval variable is introduced. Fuzzy processing is carried out to construct an interval-valued triangular fuzzy Bayesian network. Combining the characteristics of interval fuzzy subsets and Bayesian networks, a solution algorithm for leaf node failure probability, interval fuzzy importance, and interval fuzzy posterior probability is obtained under the condition of knowing only the root node failure status. Finally, the method is used to evaluate the reliability of the expansion system of the tunnel stacker, and it is verified that this method can accurately and effectively identify the weak links of the polymorphic system, and provide guidance for maintenance and diagnosis. |
| format | Article |
| id | doaj-art-ef9862701acd45408c195140adfdf5ef |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2022-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-ef9862701acd45408c195140adfdf5ef2025-01-15T02:24:33ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692022-01-014435636129911273RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATESHU QiGuoDU ChunChaoCAO LiJieSHENG HuiMinIn order to solve the limitations of traditional methods in the reliability assessment of complex systems with multi-states and difficult to obtain accurate failure rates, and the problems of T-S fault tree in the system reliability analysis, such as complex calculation and inverse reasoning, etc., a reliability assessment method based on T-S fault tree and interval-valued fuzzy multi-state Bayesian network is proposed. Based on the analysis of the T-S fault tree, it is mapped into a Bayesian network. In the existing fuzzy Bayesian network reliability analysis method, the interval variable is introduced. Fuzzy processing is carried out to construct an interval-valued triangular fuzzy Bayesian network. Combining the characteristics of interval fuzzy subsets and Bayesian networks, a solution algorithm for leaf node failure probability, interval fuzzy importance, and interval fuzzy posterior probability is obtained under the condition of knowing only the root node failure status. Finally, the method is used to evaluate the reliability of the expansion system of the tunnel stacker, and it is verified that this method can accurately and effectively identify the weak links of the polymorphic system, and provide guidance for maintenance and diagnosis.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.02.014Multi-fault state systemT-S fault treeInterval-valued fuzzy Bayesian networkReliability assessmentTelescopic transmission system |
| spellingShingle | HU QiGuo DU ChunChao CAO LiJie SHENG HuiMin RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES Jixie qiangdu Multi-fault state system T-S fault tree Interval-valued fuzzy Bayesian network Reliability assessment Telescopic transmission system |
| title | RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES |
| title_full | RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES |
| title_fullStr | RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES |
| title_full_unstemmed | RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES |
| title_short | RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES |
| title_sort | research on reliability assessment method of mechanical system considering multiple failure states |
| topic | Multi-fault state system T-S fault tree Interval-valued fuzzy Bayesian network Reliability assessment Telescopic transmission system |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.02.014 |
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