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基于谐波激励信号和贝叶斯分类方法的PZT陶瓷传感器在复合材料结构监测中的应用

Application of PZT Ceramic Sensors for Composite Structure Monitoring Using Harmonic Excitation Signals and Bayesian Classification Approach.

作者信息

Dziendzikowski Michal, Heesch Mateusz, Gorski Jakub, Dragan Krzysztof, Dworakowski Ziemowit

机构信息

Airworthiness Division, Air Force Institute of Technology, 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.

出版信息

Materials (Basel). 2021 Sep 22;14(19):5468. doi: 10.3390/ma14195468.

DOI:10.3390/ma14195468
PMID:34639865
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8509222/
Abstract

The capabilities of ceramic PZT transducers, allowing for elastic wave excitation in a broad frequency spectrum, made them particularly suitable for the Structural Health Monitoring field. In this paper, the approach to detecting impact damage in composite structures based on harmonic excitation of PZT sensor in the so-called pitch-catch PZT network setup is studied. In particular, the repeatability of damage indication for similar configuration of two independent PZT networks is analyzed, and the possibility of damage indication for different localization of sensing paths between pairs of PZT sensors with respect to damage locations is investigated. The approach allowed for differentiation between paths sensitive to the transmission mode of elastic wave interaction and sensitive reflection mode. In addition, a new universal Bayesian approach to SHM data classification is provided in the paper. The defined Bayesian classifier is based on asymptotic properties of Maximum Likelihood estimators and Principal Component Analysis for orthogonal data transformation. Properties of the defined algorithm are compared to the standard nearest-neighbor classifier based on the acquired experimental data. It was shown in the paper that the proposed approach is characterized by lower false-positive indications in comparison with the nearest-neighbor algorithm.

摘要

陶瓷压电陶瓷（PZT）换能器能够在很宽的频谱范围内激发弹性波，这使得它们特别适用于结构健康监测领域。本文研究了在所谓的“收发”PZT网络设置中，基于PZT传感器的谐波激励来检测复合材料结构冲击损伤的方法。具体而言，分析了两个独立PZT网络相似配置下损伤指示的可重复性，并研究了PZT传感器对之间传感路径相对于损伤位置的不同定位时损伤指示的可能性。该方法能够区分对弹性波相互作用的传输模式敏感的路径和对反射模式敏感的路径。此外，本文还提供了一种用于结构健康监测数据分类的新的通用贝叶斯方法。所定义的贝叶斯分类器基于最大似然估计器的渐近性质和用于正交数据变换的主成分分析。根据获取的实验数据，将所定义算法的性能与标准的最近邻分类器进行了比较。本文表明，与最近邻算法相比，所提出的方法具有较低的误报率。

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Sensors (Basel). 2019 Apr 29;19(9):2010. doi: 10.3390/s19092010.
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A PZT-Based Electromechanical Impedance Method for Monitoring the Soil Freeze⁻Thaw Process.
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基于 PZT 的机电阻抗法监测土壤冻融过程。
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