使用失效物理进行预后和健康管理

Jie Gu, M. Pecht
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引用次数: 57

摘要

本文提出了一种基于故障物理的预测和健康管理方法,用于有效的可靠性预测。该方法允许在实际应用条件下对系统可靠性进行现场评估。该方法使用传感器数据和模型,能够现场评估产品与预期正常运行状态(即系统的ldquohealththrdquo)的偏差或退化,并预测未来的可靠性状态。该方法的实现过程包括失效模式、机制和影响分析、生命周期载荷的数据简化和特征提取、损伤累积和不确定性评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostics and health management using physics-of-failure
This paper presents a physics-of-failure based prognostics and health management approach for effective reliability prediction. This method permits in-situ assessment of system reliability under actual application conditions. The method uses sensor data with models that enable in-situ assessment of the deviation or degradation of a product from an expected normal operating condition (i.e., the system's ldquohealthrdquo) and the prediction of the future state of reliability. The implementation procedure of this approach includes failure modes, mechanisms, and effects analysis, data reduction and feature extraction from the life-cycle loads, damage accumulation, and assessment of uncertainty.
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