| 张生鹏,倪瑞政,徐如远,马小兵,李宏民.基于相对熵权重组合的多阶段贮存数据融合评估方法[J].装备环境工程,2024,21(7):1-8. ZHANG Shengpeng,NI Ruizheng,XU Ruyuan,MA Xiaobing,LI Hongmin.A Multi-stage Storage Data Fusion Evaluation Method Based on Relative Entropy Weight Combination[J].Equipment Environmental Engineering,2024,21(7):1-8. |
| 基于相对熵权重组合的多阶段贮存数据融合评估方法 |
| A Multi-stage Storage Data Fusion Evaluation Method Based on Relative Entropy Weight Combination |
| 投稿时间：2024-06-24 修订日期：2024-07-11 |
| DOI：10.7643/issn.1672-9242.2024.07.001 |
| 中文关键词: 贮存数据 加速贮存数据 多源信息 相对熵 权重计算 融合评估中图分类号:TJ760.89 文献标志码:A 文章编号:1672-9242(2024)07-0001-08 |
| 英文关键词:storage data acceleration data multi source information relative entropy weight calculation fusion evaluation |
| 基金项目:装备预先研究共用技术(50904060202) |
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| Author | Institution |
| ZHANG Shengpeng | Beihang University, Beijing, 100191, China;Aerospace Science and Technology Defense Technology Research and Experiment Center, Beijing 100854, China |
| NI Ruizheng | Aerospace Science and Technology Defense Technology Research and Experiment Center, Beijing 100854, China |
| XU Ruyuan | Aerospace Science and Technology Defense Technology Research and Experiment Center, Beijing 100854, China |
| MA Xiaobing | Beihang University, Beijing, 100191, China |
| LI Hongmin | Beihang University, Beijing, 100191, China;Aerospace Science and Technology Defense Technology Research and Experiment Center, Beijing 100854, China |
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| 中文摘要: |
| 目的 针对目前仅使用加速贮存数据获取产品性能参数退化信息导致贮存寿命评估可信度低的问题，融合自然贮存数据和加速贮存数据2阶段的数据结果。方法 采用基于最小二乘和相对熵的方法，确定不同阶段数据的权重比例，最后形成融合2阶段数据的评估方法，并在扭杆和控制放大器2个产品上进行自然贮存数据与加速贮存数据的融合分析。结果 实现了2个产品贮存寿命的高置信度评估，扭杆自然贮存数据和加速贮存数据的权重比例分别为0.263和0.737，控制放大器自然贮存数据和加速贮存数据的权重比例分别为0.776和0.224。结论 融合评价的方法能够结合2部分数据的退化特点，给出一个更有信服力的评价结果。 |
| 英文摘要: |
| The equipment has been stored in a natural environment for certain years before the accelerated storage test. Its usage and detection information during different stages has different characteristics, and has irreplaceable value in determining the health status of the equipment. Natural storage data has high credibility but lacks data, while laboratory accelerated storage data has rich information but low credibility. This article aims to address the issue of low reliability in evaluating storage life due to the use of only accelerated storage data to obtain degradation information of product performance parameters. The results of natural storage data and accelerated storage data from two stages were integrated. The methods based on least squares and relative entropy were used to determine the weight ratios of data from different stages. Finally, an evaluation method that integrated two-stage data was formed. By conducting fusion analysis of natural storage data and accelerated storage data on the torsion bar and control amplifier products, a high confidence evaluation of the storage life of the two products was achieved. The weight ratios of natural storage data and accelerated storage data on the torsion bar were 0.263 and 0.737, respectively. The weight ratios of natural storage data and accelerated storage data on the control amplifier were 0.776 and 0.224, respectively. The data results show that the fusion evaluation method can combine the degradation characteristics of the two parts of the data to provide a more convincing evaluation result. |
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