Structural damage detection using unmanned Structural Health Monitoring techniques is becoming the need of the day with the technologies available presently. Sensors made of Lead Zirconate Titanate materials, due to their simplicity and robustness, are increasingly used as an effective monitoring sensor in Structural Health Monitoring. Continuous monitoring of the structures using Lead Zirconate Titanate sensors often results in a laborious data retrieval process due to the large amount of signal generated. To speed up the data retrieval process, a multi-sensing technique in which the Lead Zirconate Titanate patches are connected in series and parallel is proposed for structural damage detection. The proposed method is validated using an experimental investigation carried out on a reinforced concrete beam embedded with smart Lead Zirconate Titanate sensor units. The beam is subjected to damage, and the location of damage is identified using conductance signatures obtained from patches sensed individually and through multiplexing. This article proposes an effective methodology for selection of patches to be connected in series/parallel to maximise the efficiency of damage detection. Damage quantification using conventional statistical metrics such as root mean square deviation, mean absolute percentage deviation and cross correlations are found to be ineffective in identifying the location of damage from the multiplexed signatures. In turn, dynamic metrics such as moving root mean square deviation, moving mean absolute percentage deviation and moving cross correlation with overlapped moving blocks of data are proposed in the present work and their ability to detect the damage location from multiplexed signatures is discussed.

中文翻译：

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通过串行/并行多传感技术基于压电传感器的混凝土损伤进展

使用无人驾驶结构健康监测技术进行结构损坏检测正成为当今可用技术的需求。由锆钛酸铅材料制成的传感器由于其简单性和坚固性，越来越多地用作结构健康监测中的有效监测传感器。由于生成的大量信号，使用锆钛酸铅传感器对结构进行连续监测通常会导致费力的数据检索过程。为了加快数据检索过程，提出了一种多传感技术，其中锆钛酸铅贴片串联和并联连接用于结构损伤检测。所提出的方法通过对嵌入智能锆钛酸铅传感器单元的钢筋混凝土梁进行的实验研究得到验证。光束受到损坏，并且使用从单独感测的贴片和通过多路复用获得的电导特征来识别损坏的位置。本文提出了一种有效的方法来选择要串联/并联连接的贴片，以最大限度地提高损坏检测的效率。发现使用常规统计指标（例如均方根偏差、平均绝对百分比偏差和互相关）的损坏量化在从多路复用签名中识别损坏位置方面是无效的。反过来，动态指标，例如移动均方根偏差，