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OPTIMIZING SENSORS, SYSTEMS AND PERFORMANCE

机译：优化传感器，系统和性能

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摘要

When specifying/developing monitoring and prognostic systems it is important to focus on what information the system needs to deliver. One can then work backward to choose or design the optimal sensor for this task. For most metal structures this will narrow down to some form of strain, fatigue or corrosion. Classically, the most sensitive, well-matched strain or deformation measuring system is used to collect data and corrosion is inspected manually with little (if any) correlation between what is visibly inspected and flight data being assimilated. The understanding of fatigue, and pitting in aluminum components has lead to an industry wide concentration on micro crack detection. In recent years, there has been a focus - pushed by the aero-structural industry- to develop ever more sensitive strain gauges and sensing equipment4 to detect these micro cracks and the accompanying micro strain. In this paper we will propose that this focus1 detracts attention from what is trying to be achieved.
机译：在指定/开发监视和预测系统时，重要的是集中于系统需要提供哪些信息。然后可以向后工作以选择或设计用于此任务的最佳传感器。对于大多数金属结构，这将缩小到某种形式的应变，疲劳或腐蚀。传统上，使用最灵敏，最匹配的应变或变形测量系统来收集数据，并手动检查腐蚀，而在可见检查的结果和被吸收的飞行数据之间几乎没有（如果有）相关性。对疲劳和铝部件上的点蚀的理解已导致行业广泛关注微裂纹检测。近年来，在航空结构工业的推动下，重点一直放在开发更加灵敏的应变仪和传感设备4，以检测这些微裂纹和伴随的微应变。在本文中，我们将提出，这种关注点1转移了人们对尝试实现目标的关注。

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