基于灰色预测理论的加速试验数据可靠性评估模型
At the case where the amount of failure data is small and the acceleration model is difficult to be determined,it is difficult for the traditional model to make a more accurate assessment of the testing results.Based on the grey prediction theory,the constant-experience data of life-obeying Weibull...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2021-01-01
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| Series: | Jixie qiangdu |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.01.023 |
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| author | 蒋玉婷 程世娟 殷泽凯 |
| author_facet | 蒋玉婷 程世娟 殷泽凯 |
| author_sort | 蒋玉婷 |
| collection | DOAJ |
| description | At the case where the amount of failure data is small and the acceleration model is difficult to be determined,it is difficult for the traditional model to make a more accurate assessment of the testing results.Based on the grey prediction theory,the constant-experience data of life-obeying Weibull distribution was analyzed.The stress-related weights were used to generate background values to complement the missing data,and an equally spaced gray prediction model was established to correct the parameters of the accelerated life prediction model in this work.The analysis of the example indicated that the gray acceleration testing data evaluation model had a small relative error and high prediction accuracy. |
| format | Article |
| id | doaj-art-7fe837a22f9a4741adce4353e254b200 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2021-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-7fe837a22f9a4741adce4353e254b2002025-01-15T02:26:37ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692021-01-0115916230609903基于灰色预测理论的加速试验数据可靠性评估模型蒋玉婷程世娟殷泽凯At the case where the amount of failure data is small and the acceleration model is difficult to be determined,it is difficult for the traditional model to make a more accurate assessment of the testing results.Based on the grey prediction theory,the constant-experience data of life-obeying Weibull distribution was analyzed.The stress-related weights were used to generate background values to complement the missing data,and an equally spaced gray prediction model was established to correct the parameters of the accelerated life prediction model in this work.The analysis of the example indicated that the gray acceleration testing data evaluation model had a small relative error and high prediction accuracy.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.01.023 |
| spellingShingle | 蒋玉婷 程世娟 殷泽凯 基于灰色预测理论的加速试验数据可靠性评估模型 Jixie qiangdu |
| title | 基于灰色预测理论的加速试验数据可靠性评估模型 |
| title_full | 基于灰色预测理论的加速试验数据可靠性评估模型 |
| title_fullStr | 基于灰色预测理论的加速试验数据可靠性评估模型 |
| title_full_unstemmed | 基于灰色预测理论的加速试验数据可靠性评估模型 |
| title_short | 基于灰色预测理论的加速试验数据可靠性评估模型 |
| title_sort | 基于灰色预测理论的加速试验数据可靠性评估模型 |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.01.023 |
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