基于相对熵的产品贮存寿命数据融合方法
Product Storage Life Data Fusion Method Based on Relative Entropy
徐如远 1张生鹏 1王韶光 2贾昊楠 2蒋勇3
作者信息
- 1. 航天科工防御技术研究试验中心,北京 100854
- 2. 中国人民解放军 32181部队,西安 710032
- 3. 电子信息控制重点实验室,成都 610036
- 折叠
摘要
目的 针对产品贮存延寿工程寿命评估不准确的问题,开展基于自然和加速贮存试验数据的融合评估方法研究.方法 基于相对熵的思想,构造一个新的寿命分布,使其与自然贮存寿命分布和加速贮存寿命分布的距离最小.结果 结合某机电产品工程案例,给出贮存寿命数据融合评估方法.结论 该方法可有效地对机电产品自然和加速贮存寿命分布数据进行融合,给出相应年限的可靠度,为寿命准确评估提供支撑.
Abstract
The work aims to address the issue of inaccurate assessment of product storage life extension engineering,and conduct researchon a fusion evaluation method based on natural and accelerated storage test data.Based on the idea of relative entropy,a new life distribution was constructed to minimize the distance from the natural and accelerated storage life distribu-tion.A data fusion evaluation method was provided for storage life based on a certain electromechanical product engineering case.This method can effectively integrate the natural and accelerate storage life distribution data of electromechanical products,give the reliability of the corresponding life,and provide support for the accurate life assessment.
关键词
机电产品/数据融合/相对熵/自然贮存/加速贮存/寿命评估Key words
mechanical and electrical products/data fusion/relative entropy/natural storage/accelerated storage/life as-sessment引用本文复制引用
出版年
2024
NETL
NSTL
万方数据