Research on the Reliability Allocation Method of Smart Meters Based on DEA and DBN
Reliability allocation can reasonably determine the reliability index of each unit in the system to ensure product quality in design, manufacturing, testing and acceptance. In the design process of the smart meter, the preliminary reliability allocation results may be unreasonable, so in the middle...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/15/6901 |
| _version_ | 1827686678651731968 |
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| author | Juan Zhou Zonghuan Wu Zhonghua Yu |
| author_facet | Juan Zhou Zonghuan Wu Zhonghua Yu |
| author_sort | Juan Zhou |
| collection | DOAJ |
| description | Reliability allocation can reasonably determine the reliability index of each unit in the system to ensure product quality in design, manufacturing, testing and acceptance. In the design process of the smart meter, the preliminary reliability allocation results may be unreasonable, so in the middle and later stages of the design stage, the reliability needs to be reallocated. The traditional allocation method has some limitations, such as strong subjectivity, large amount of calculation and too much reliance on expert judgment. In order to solve these problems, this paper presents a multi-method fusion method of reliability allocation. First, this paper uses the goal-oriented methodology (GO methodology) to integrate dynamic Bayesian networks (DBNs) to predict the reliability of smart meters. Second, a data envelopment analysis (DEA) reliability allocation model is established, the posterior probability obtained by DBN reasoning together with the failure rate and structural complexity of each unit are used as the output indicators of this model. Finally, the reliability allocation weight is calculated by using the efficiency value obtained from the DEA reliability allocation model. The validity and accuracy of this method is verified by an accelerated life test. This provides a new idea for reliability reallocation of smart meters. |
| first_indexed | 2024-03-10T09:19:13Z |
| format | Article |
| id | doaj.art-d1983f6b407142c3b1a71106948f9997 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T09:19:13Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d1983f6b407142c3b1a71106948f99972023-11-22T05:21:21ZengMDPI AGApplied Sciences2076-34172021-07-011115690110.3390/app11156901Research on the Reliability Allocation Method of Smart Meters Based on DEA and DBNJuan Zhou0Zonghuan Wu1Zhonghua Yu2College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, ChinaCollege of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, ChinaSchool of Mechanical Engineering, Zhejiang University, Hangzhou 310018, ChinaReliability allocation can reasonably determine the reliability index of each unit in the system to ensure product quality in design, manufacturing, testing and acceptance. In the design process of the smart meter, the preliminary reliability allocation results may be unreasonable, so in the middle and later stages of the design stage, the reliability needs to be reallocated. The traditional allocation method has some limitations, such as strong subjectivity, large amount of calculation and too much reliance on expert judgment. In order to solve these problems, this paper presents a multi-method fusion method of reliability allocation. First, this paper uses the goal-oriented methodology (GO methodology) to integrate dynamic Bayesian networks (DBNs) to predict the reliability of smart meters. Second, a data envelopment analysis (DEA) reliability allocation model is established, the posterior probability obtained by DBN reasoning together with the failure rate and structural complexity of each unit are used as the output indicators of this model. Finally, the reliability allocation weight is calculated by using the efficiency value obtained from the DEA reliability allocation model. The validity and accuracy of this method is verified by an accelerated life test. This provides a new idea for reliability reallocation of smart meters.https://www.mdpi.com/2076-3417/11/15/6901reliability allocationsmart meterdata envelopment analysisdynamic Bayesian networksGO methodology |
| spellingShingle | Juan Zhou Zonghuan Wu Zhonghua Yu Research on the Reliability Allocation Method of Smart Meters Based on DEA and DBN Applied Sciences reliability allocation smart meter data envelopment analysis dynamic Bayesian networks GO methodology |
| title | Research on the Reliability Allocation Method of Smart Meters Based on DEA and DBN |
| title_full | Research on the Reliability Allocation Method of Smart Meters Based on DEA and DBN |
| title_fullStr | Research on the Reliability Allocation Method of Smart Meters Based on DEA and DBN |
| title_full_unstemmed | Research on the Reliability Allocation Method of Smart Meters Based on DEA and DBN |
| title_short | Research on the Reliability Allocation Method of Smart Meters Based on DEA and DBN |
| title_sort | research on the reliability allocation method of smart meters based on dea and dbn |
| topic | reliability allocation smart meter data envelopment analysis dynamic Bayesian networks GO methodology |
| url | https://www.mdpi.com/2076-3417/11/15/6901 |
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