Intelligent early structural health prognosis with nonlinear system identification for RFID signal analysis
Intelligent early structural health prognosis with nonlinear system identification for RFID signal analysis
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DOI：
10.1016/j.comcom.2020.04.026
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发表时间：
2020-05-01
影响因子：
6
通讯作者：
Yang, Liu
中科院分区：
文献类型：
--
作者：
Chen, Hanxin;Chen, Yongting;Yang, Liu
非线性过程的机械状态具有多变量、强耦合、多振源、大信号噪声和各种随机因素等特点。多源矩阵信号特征因子方向路径的内在联系和整体一致性优化是多源动态特征信号识别中的一个新的研究热点。提出了一种基于NARMAX-FRF和PCA的智能故障诊断与预测方法。该方法可广泛应用于工业系统故障诊断中。该系统解决了许多基本的关键问题，包括从检测系统中识别非线性模型，精确求解频率响应函数，从频率响应函数中提取代表性的频域，以及将提取的系统频域特征应用于大规模结构健康评估。为了验证NARMAX_FRF和PCA方法在非线性缺陷信号分析中的性能，本文对腐蚀监测智能RFID系统和结构健康监测TOFD实验系统进行了实验分析。腐蚀监测智能RFID系统实验中的一组样本由涂层和未涂层的低碳钢板组成，这些钢板上有一个补丁，该补丁已暴露在环境中不同的时间，以产生不同程度的腐蚀。结果表明了该方法的有效性和鲁棒性。
The mechanical state of non-linear processes includes these characteristics such as multivariable, strong coupling, multiple vibration sources, large signal noise, and various random factors. The intrinsic relationship and overall consistency optimization of the characteristic factor direction paths of multi-source matrix signals are a new research hotspot in multi-source dynamic characteristic signal identification. A intelligent fault diagnosis and prognosis method based on NARMAX-FRF and PCA is proposed in this paper. This method can be widely used in industrial system fault diagnosis. This system solves many basic key problems, including identifying a non-linear model from a detected system, accurately solving the frequency response function, extracting a representative frequency domain from the frequency response function, and applying extracted system frequency domain features for large-scale structural health assessment. In order to verify the performance of the NARMAX_FRF and PCA method for nonlinear defect signal analysis, the experiment of intelligent RFID system of corrosion monitoring and the TOFD experimental system are analyzed for the structural health monitoring in this paper. The set of samples in the experiment of intelligent RFID system of corrosion monitoring consists of coated and uncoated mild steel plates, which have a patch that has been exposed to the environment for different durations to create different levels of corrosion. The results show the effectiveness and robustness of the proposed method.