Airworthiness Division, Air Force Institute of Technology, ul. Ks. Boleslawa 6, 01-494 Warszawa, Poland.
Department of Robotics and Mechatronics, Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, 30-059 Krakow, Poland.
Sensors (Basel). 2022 Dec 29;23(1):369. doi: 10.3390/s23010369.
Two performance parameters are particularly important for the assessment of structural health monitoring (SHM) systems, i.e., their damage detection capabilities and risk of false positive indications due to varying environmental and operational conditions (EOCs). A reduced ratio of false-positive indications can be of significant importance for particular applications, for example, in aerospace, where the costs of unplanned maintenance procedures can be very high. In such cases, the reduction of the false calls ratio can be critical for the possibility of the practical application of the system, apart from damage detection efficiency and system costs. Among various sensor technologies, PZT networks are proven to be one of the most universal approaches to SHM, and they were successfully applied in different scenarios. Moreover, many EOCs which may have an impact on the risk of false positive indications have been identified. Over the years, different approaches to the influence of EOCs compensation have been proposed. Compensation methods can be tailored to the particular way in which a given measurement condition, for example, ambient temperature, alters signals acquired by the PZT network or can be formulated to be also applied in the more general case. In the paper, a method for enhancement of damage detection efficiency under influence of EOCs of general nature is proposed. The particular measurement condition affecting signals acquired by PZT sensors neither needs to be measured, which could be hard in some cases, but also nor even have to be identified. The efficiency of the proposed compensation algorithms is verified based on the example of experimental results obtained under varying temperatures.
对于结构健康监测 (SHM) 系统的评估，有两个性能参数尤为重要，即它们的损伤检测能力和由于环境和操作条件 (EOC) 变化而产生误报的风险。减少误报率对于某些特定应用可能非常重要，例如在航空航天领域，计划外维护程序的成本可能非常高。在这种情况下，除了损伤检测效率和系统成本之外，降低误报率对于系统实际应用的可能性至关重要。在各种传感器技术中，PZT 网络已被证明是 SHM 最通用的方法之一，并已成功应用于不同的场景。此外，已经确定了许多可能对误报风险产生影响的 EOC。多年来，已经提出了不同的方法来补偿 EOC 的影响。补偿方法可以根据特定的测量条件（例如环境温度）改变 PZT 网络采集的信号的方式进行定制，也可以制定为更一般的情况应用。本文提出了一种在一般性质的 EOC 影响下提高损伤检测效率的方法。受 PZT 传感器影响的特定测量条件既不需要测量（在某些情况下可能很难），也不需要识别。基于在不同温度下获得的实验结果示例，验证了所提出的补偿算法的效率。
