| 董学平,邹龙春,章恒,陶良彦.贫信息背景下复杂装备的加速系数确定模型——基于灰色关联与失效相似度[J].装备环境工程,2021,18(10):98-103. DONG Xue-ping,ZOU Long-chun,ZHANG Heng,TAO Liang-yan.Determination of Acceleration Coefficient of Complex Equipment Under InformationShortage—Based on Grey Correlation and Failure Similarity[J].Equipment Environmental Engineering,2021,18(10):98-103. |
| 贫信息背景下复杂装备的加速系数确定模型——基于灰色关联与失效相似度 |
| Determination of Acceleration Coefficient of Complex Equipment Under InformationShortage—Based on Grey Correlation and Failure Similarity |
| 投稿时间：2021-06-27 修订日期：2021-08-19 |
| DOI：10.7643/issn.1672-9242.2021.10.016 |
| 中文关键词: 加速系数 灰色关联 失效分析 相似度测量 |
| 英文关键词:acceleration coefficient grey correlation failure analysis similarity measurement |
| 基金项目:国家级大学生创新创业训练项目基金(201910287086Z) |
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| Author | Institution |
| DONG Xue-ping | School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China |
| ZOU Long-chun | School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China |
| ZHANG Heng | School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China |
| TAO Liang-yan | School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China |
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| 中文摘要: |
| 针对传统加速系数确定方法过分依赖可靠性增长模型与利用子系统进行数据融合机理不清晰的问题，提出一种利用装备、环境与失效相似度综合确定复杂装备加速系数的方法。利用灰色关联与灰靶方法充分筛选历史相关样本进行信息融合，提出的方法极大程度地在小样本的情况下对相关信息进行挖掘。与传统方法相比，本方法需要的数据较少，易于取得，计算简便且适用于各类新装备的各类新环境。最后通过算例分析证明了方法的简便性与实用性。证明了方法兼具理论与实践价值。 |
| 英文摘要: |
| Due to the restrictions that the traditional method for determining the acceleration coefficient is overly dependent on the reliability growth model and the data fusion mechanism using subsystems is too vague, this paper proposes a method for comprehensively determining the acceleration coefficient of complex equipment using the failure similarity, environment, and failure. By using grey correlation and grey target methods to fully screen historically relevant samples for information fusion, the proposed method collects as much as possible relevant information in the case of small samples. Compared with the traditional method, this method requires less data which is easy to obtain and simple for calculation, also suitable for various new environments of various new equipment. Subsequently, the analysis of examples proves the simplicity and practicability of this method. Therefore, this method has both theoretical and practical values. |
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