基于虚拟制造和测试的机电元件的存储可靠性预测
Yigang Lin1,2, Tao He1, Haotong Zhu3
1College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou, China.
Heliyon
|October 12, 2023
概括
本研究介绍了一种虚拟制造和测试方法,用于预测电机组件 (EMC) 的存储可靠性. 该方法模拟退化,考虑制造变化,以改善系统可靠性预测.
科学领域:
- 可靠性工程可靠性工程
- 材料科学 材料科学 材料科学
- 制造过程 制造过程 制造过程
背景情况:
- 电机组件 (EMC) 在工业和军事系统中至关重要,但在设计过程中很难预测它们的存储可靠性.
- 有限的故障率数据,测试时间和预算阻碍了对EMC存储可靠性的准确预测.
- 电磁中心的存储可靠性直接影响整个系统的可靠性.
研究的目的:
- 提出一个虚拟的制造和测试方法来模拟批量EMC的储存降解过程.
- 提高EMC储存可靠性的预测,解决传统方法的局限性.
- 改进结合EMC的系统的可靠性评估.
主要方法:
- 开发了一个虚拟的制造和测试方法来模拟EMC的储存退化.
- 维纳工艺被用来建模存储故障分配函数,包括质量选和单位对单位的变化.
- 来自相关产品的测试数据被用作预先信息来量化扩散系数分布和模型不确定性.
主要成果:
- 获得批量EMC的储存故障分布函数,考虑制造影响和变化.
- 储存降解过程中的不确定性通过模拟扩散系数分布来量化.
- 一个关于电磁继电器的案例研究表明了拟议的虚拟方法的有效性.
结论:
- 拟议的虚拟方法有效模拟EMC存储退化,并预测可靠性.
- 对制造工艺和单位变化的核算可以提高存储可靠性预测的准确性.
- 这种方法为在数据和资源限制下估计EMC存储可靠性的可行解决方案.
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