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基于 Zernike 模式和 MAC 的复合材料圆盘输出系统模态识别

Modal Identification of Output-Only Systems of Composite Discs Using Zernike Modes and MAC.

机构信息

Institute of Lightweight Engineering and Polymer Technology (ILK), Technische Universität Dresden, 01307 Dresden, Germany.

出版信息

Sensors (Basel). 2019 Feb 6;19(3):660. doi: 10.3390/s19030660.

DOI:10.3390/s19030660
PMID:30736301
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6387320/
Abstract

The analysis of the structural dynamic behaviour of composite rotor⁻discs by a valid description of the eigenfrequencies and mode shapes can provide significant information for action-taking before a failure occurs. Specifically, vibration-based diagnostic methods, which are able to take into consideration the interdependencies and sequential changes of the modal properties could benefit from such an analysis. Here, on the example of composite rotors, a correlation method for experimentally determined mode shapes is developed. For this purpose the Zernike polynomials are used to enhance the identification of mode shapes. Furthermore, the modal assurance criterion (MAC) in combination with the frequency response criterion and a data processing approach are applied in order to characterize changing modal properties of composite rotors. In addition, the developed algorithms can be further extended in order to simplify the experimental evaluation of the complex dynamic behaviour of composite structures.

摘要

通过对固有频率和振型进行有效描述，对复合材料转子-盘的结构动力特性进行分析，可以为失效前的决策提供重要信息。具体而言，基于振动的诊断方法可以考虑模态特性的相关性和顺序变化，从而从中受益。在这里，以复合材料转子为例，开发了一种用于实验确定振型的相关方法。为此，使用 Zernike 多项式来增强对振型的识别。此外，还应用模态保证准则 (MAC) 与频率响应准则以及数据处理方法，以描述复合材料转子模态特性的变化。此外，还可以进一步扩展开发的算法，以简化复合材料结构复杂动力特性的实验评估。

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2
A Data-Driven Diagnostic Framework for Wind Turbine Structures: A Holistic Approach.一种用于风力涡轮机结构的数据驱动诊断框架：一种整体方法。
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Output-Only Damage Detection of Shear Building Structures Using an Autoregressive Model-Enhanced Optimal Subpattern Assignment Metric.
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