发表机构
Iowa State University; FAA Airworthiness Assurance Center, Sandia National Laboratories; Metis Design Corporation（爱荷华州立大学; 联邦航空局适航保证中心，桑迪亚国家实验室; 梅蒂斯设计公司）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文回顾并扩展了结构健康监测中检测概率（POD）的统计方法，提出了检测时损伤尺寸（SoDaD）和随机参数（RP）两种方法，并通过PZT、CNT、CVM三个案例验证其有效性。
AI 中文摘要
利用结构健康监测（SHM）技术来增强传统无损检测（NDI）方法，以提高安全性、增加资产可用性并降低维护和检测成本，这一潜力引起了广泛关注。SHM 可用于许多应用，包括飞机和管道中的关键部件。检测概率（POD）在飞机结构完整性计划中起着关键作用，这导致人们对开发评估 SHM 应用中 POD 的方法兴趣日益浓厚。与传统涉及含裂纹试件的 NDI 实验室实验不同，SHM 传感器是固定的，SHM 数据随着裂纹扩展或其他演变而随时间获取。因此，用于评估 POD 的传统统计方法必须被替换或扩展，以正确处理重复测量数据。本文的目的是回顾 POD 的基本统计概念，并展示这些概念如何被扩展或调整以用于 SHM-POD 应用。本文提出了修改和扩展现有 POD 方法的统计方法，包括一种简单的检测时损伤尺寸（SoDaD）方法和一种用于重复测量数据的随机参数（RP）方法。通过三个涉及压电换能器（PZT）、碳纳米管（CNT）和比较真空监测（CVM）传感器系统的案例研究对这些方法进行了比较。结果表明，SoDaD 方法提供了一种在数据有限的情况下进行 POD 估计的简单方法，而 RP 方法通过利用重复测量提供了增强的建模保真度。这些方法适用于使用标量损伤指数或类似响应做出检测决策的情况。
英文摘要
There is much interest in the potential to use structural health monitoring (SHM) technology to augment traditional nondestructive inspection (NDI) methods to improve safety, increase asset availability, and reduce maintenance and inspection costs. SHM has the potential to be used in many applications, including critical components in aircraft and pipelines. Probability of detection (POD) plays a critical role in aircraft structural integrity programs, leading to increased interest in developing methods to assess POD in SHM applications. In contrast to traditional NDI laboratory experiments involving specimens with cracks, SHM sensors are fixed, and SHM data are acquired over time as cracks grow or otherwise evolve. Thus, traditional statistical methods for assessing POD must be replaced or extended to properly handle repeated-measures data. The purpose of this paper is to review the basic statistical concepts of POD and show how these concepts can be extended or adapted for SHM-POD applications. The paper presents statistical methods for modifying and extending existing POD methods, including a simple size-of-damage-at-detection (SoDaD) method and a random-parameter (RP) method for repeated-measures data. The methods are compared using three case studies involving Piezoelectric Transducer (PZT), Carbon Nanotube (CNT), and Comparative Vacuum Monitoring (CVM) sensor systems. Results show that the SoDaD method provides a simple approach for POD estimation with limited data, while the RP method offers enhanced modeling fidelity by utilizing repeated measurements. These methods are applicable when a scalar damage index or similar response is used to make a detection decision.
Comments37 pages, 14 figures
