After the Columbia accident, aged composite overwrapped pressure vessels (COPVs) employed for space missions are being subjected to various examination and monitoring techniques to identify different failure modes. As an innovative approach, this paper explores the capability of Auto-Regressive model with eXogenous input (ARX) model analysis method to detect damages/flaws in COPVs utilizing the pressure as the input and the corresponding strains as the response data. Different levels of pressure were applied to the instrumented COPVs; both pressure and strains were simultaneously recorded, and later were analyzed to detect anomalies. Also investigated is the possibility of obtaining indices/features related to the performance of COPVs. It was discovered that varying strain measurements were recorded of damage induced COPVs while consistent strain measurements were recorded of intact COPVs. Furthermore, a Damage Feature (DF) was identified to compare the existing conditions of COPVs. A deviation of the DF values from an established threshold level was apparent for damage-induced COPVs while other COPVs were below the threshold level.

哥伦比亚事故发生后，用于太空任务的老化的复合包裹压力容器（COPV）正在接受各种检查和监视技术，以识别不同的失效模式。作为一种创新方法，本文探索了利用外源输入（ARX）模型分析方法的自回归模型以压力为输入并以相应应变为响应数据来检测COPV中损坏/缺陷的能力。对仪表化的COPV施加了不同的压力水平；同时记录压力和应变，随后进行分析以检测异常。还研究了获得与COPV性能相关的指标/功能的可能性。已发现记录了损伤诱导的COPV的不同应变测量结果，而记录了完整的COPV的一致应变测量结果。此外，确定了损坏特征（DF）以比较COPV的现有条件。对于损坏引起的COPV，DF值与既定阈值水平之间的偏差很明显，而其他COPV则低于阈值水平。