小波变换
小波
计算机科学
灵敏度(控制系统)
能量(信号处理)
信号(编程语言)
噪音(视频)
算法
遗传算法
有限元法
过程(计算)
结构工程
人工智能
数学
电子工程
工程类
统计
机器学习
操作系统
图像(数学)
程序设计语言
作者
M. R. Ashory,Ahmad Ghasemi‐Ghalebahman,Mohammad-Javad Kokabi
标识
DOI:10.1177/0954406217692844
摘要
Delamination is a common defect in composite plates that may cause significant losses in commercial applications. In this study, a hybrid damage detection method was introduced, which raised both the damage identification sensitivity level and detected quantitative damage parameters. The primary damage location was pinpointed by the wavelet transform, and the damage parameters, including location, depth, and intensity, were then isolated by the model updating process. The wavelet transform was obtained according to the signal’s nature, which leads to improvement in the wavelet transform’s operation. Then, the lifting scheme algorithm process was performed to increase the wavelet efficiency in damage detection. In addition, a proper signal, based on strain energy, was used for damage detection by the wavelet transform. Finally, the genetic algorithm method was employed in the proposed model updating method to identify the damage parameters through employing a novel error function. The selected error function was based on strain energy, having the best operation among previously identified modal criteria. Consequently, the accuracy of identifying the damage parameters was improved upon utilizing the proposed method, particularly in the presence of noise. In addition, the solution performed faster than the previously available updating methods which utilized only the genetic algorithm-based on mode shapes and natural frequencies for detecting the damage.
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