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An Object Detecting Signal Analysis Method Based on General Approximation Entropy and Wavelet De-noising

机译:一种基于通用的目标检测信号分析方法   近似熵和小波去噪

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摘要

The construction quality of the bolt is directly related to the safety of theproject. The construction quality of the bolt anchorage must be tested. In thispaper, the improved complete ensemble empirical mode decomposition (ICEEMD)method is introduced into the bolt detection signal analysis. The ICEEMD isused to decompose the anchor detection signal according to the approximateentropy of each intrinsic mode function (IMF). The noise of the IMFs iseliminated by the wavelet soft threshold de-noising technique. Based on theapproximate entropy and the wavelet de-noising principle, the ICEEMD-De anchorsignal analysis method is proposed. From the analysis of the vibration analogsignal, as well as the bolt detection signal, the result shows that theICEEMD-De method is able to correctly separate the different IMFs under thenoisy condition, and the IMF can effectively identify the reflection signal ofthe end of the bolt.
机译:螺栓的施工质量直接关系到工程的安全性。必须测试螺栓锚固的施工质量。本文将改进的完整整体经验模态分解(ICEEMD)方法引入螺栓检测信号分析中。 ICEEMD用于根据每个本征模式函数(IMF)的近似熵分解锚点检测信号。小波软阈值去噪技术消除了IMF的噪声。基于近似熵和小波消噪原理,提出了ICEEMD-De锚定信号分析方法。通过对振动模拟信号以及螺栓检测信号的分析,结果表明,ICEEMD-De方法能够在嘈杂的条件下正确分离不同的IMF,并且IMF可以有效地识别螺栓末端的反射信号。 。

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