故障逻辑和数据驱动模型用于操作,对板偏斜角度的可靠性分析
Wan-Yi Liu1, Yun-Wen Feng1, Da Teng1
1School of Aeronautics, Northwestern Polytechnical University,Xi'an 710072, People's Republic of China.
概括
一个新的框架增强了使用故障逻辑和数据驱动模型的曲角度可靠性分析. 改进的甲虫回传优化算法 (IDBO-BP) 方法准确地预测了翼运动,为不确定的故障参数提供了解决方案.
科学领域:
- 航空航天工程 航空航天工程
- 机械可靠性 机械可靠性
- 计算智能是一种计算智能.
背景情况:
- 对飞机安全至关重要的是对板偏斜角度可靠性的分析.
- 现有的方法在不确定的故障参数下扎.
- 基于物理的机器学习为结构完整性提供了新的途径.
研究的目的:
- 开发一个新的可靠性分析框架,用于曲角度.
- 整合故障逻辑和数据驱动建模以提高准确性.
- 为改进可靠性建模引入一个优化的算法.
主要方法:
- 故障逻辑分析以确定特征性故障参数.
- 用有限的数据进行可靠性分析的数据驱动建模.
- 改进了甲虫优化背向传播算法 (IDBO-BP) 用于板偏向建模.
主要成果:
- 拟议的框架准确地反映了实际的板运动.
- IDBO-BP算法展示了卓越的建模和模拟能力.
- 即使不确定故障参数,也可以实现有效的可靠性分析.
结论:
- 开发的框架为曲可靠性分析提供了强大的解决方案.
- IDBO-BP算法为可靠性建模的优化提供了显著的进步.
- 这项研究为使用机器学习的结构完整性应用提供了一种新的方法.
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