Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information
Predicting system lifetime is important to ensure safe and reliable operation of products, which requires integrated modeling based on multi-level, multi-sensor information. However, lifetime characteristics of equipment in a system are different and failure mechanisms are inter-coupled, which leads...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/9/2123 |
| _version_ | 1828112551605436416 |
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| author | Jingbin Wang Xiaohong Wang Lizhi Wang |
| author_facet | Jingbin Wang Xiaohong Wang Lizhi Wang |
| author_sort | Jingbin Wang |
| collection | DOAJ |
| description | Predicting system lifetime is important to ensure safe and reliable operation of products, which requires integrated modeling based on multi-level, multi-sensor information. However, lifetime characteristics of equipment in a system are different and failure mechanisms are inter-coupled, which leads to complex logical correlations and the lack of a uniform lifetime measure. Based on a Bayesian network (BN), a lifetime prediction method for systems that combine multi-level sensor information is proposed. The method considers the correlation between accidental failures and degradation failure mechanisms, and achieves system modeling and lifetime prediction under complex logic correlations. This method is applied in the lifetime prediction of a multi-level solar-powered unmanned system, and the predicted results can provide guidance for the improvement of system reliability and for the maintenance and protection of the system. |
| first_indexed | 2024-04-11T11:51:16Z |
| format | Article |
| id | doaj.art-ac8a79731c0e44288fa5d0b273cfd428 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T11:51:16Z |
| publishDate | 2017-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-ac8a79731c0e44288fa5d0b273cfd4282022-12-22T04:25:19ZengMDPI AGSensors1424-82202017-09-01179212310.3390/s17092123s17092123Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level InformationJingbin Wang0Xiaohong Wang1Lizhi Wang2School of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaUnmanned System Institute, Beihang University, Beijing 100191, ChinaPredicting system lifetime is important to ensure safe and reliable operation of products, which requires integrated modeling based on multi-level, multi-sensor information. However, lifetime characteristics of equipment in a system are different and failure mechanisms are inter-coupled, which leads to complex logical correlations and the lack of a uniform lifetime measure. Based on a Bayesian network (BN), a lifetime prediction method for systems that combine multi-level sensor information is proposed. The method considers the correlation between accidental failures and degradation failure mechanisms, and achieves system modeling and lifetime prediction under complex logic correlations. This method is applied in the lifetime prediction of a multi-level solar-powered unmanned system, and the predicted results can provide guidance for the improvement of system reliability and for the maintenance and protection of the system.https://www.mdpi.com/1424-8220/17/9/2123multi-level systemlifetime predictionBayesian Networksmulti-sensor information integrationcomplex logical correlation |
| spellingShingle | Jingbin Wang Xiaohong Wang Lizhi Wang Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information Sensors multi-level system lifetime prediction Bayesian Networks multi-sensor information integration complex logical correlation |
| title | Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information |
| title_full | Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information |
| title_fullStr | Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information |
| title_full_unstemmed | Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information |
| title_short | Modeling of BN Lifetime Prediction of a System Based on Integrated Multi-Level Information |
| title_sort | modeling of bn lifetime prediction of a system based on integrated multi level information |
| topic | multi-level system lifetime prediction Bayesian Networks multi-sensor information integration complex logical correlation |
| url | https://www.mdpi.com/1424-8220/17/9/2123 |
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