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Bolt Detection Signal Analysis Method Based on ICEEMD

机译:基于ICEEMD的螺栓检测信号分析方法

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The construction quality of the bolt is directly related to the safety of the project, and, as such, it must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced to the bolt detection signal analysis. The ICEEMD is used in order to decompose the anchor detection signal according to the approximate entropy of each intrinsic mode function (IMF). The noise of the IMFs is eliminated by the wavelet soft threshold denoising technique. Based on the approximate entropy and the wavelet denoising principle, the ICEEMD-De anchor signal analysis method is proposed. From the analysis of the vibration analog signal, as well as the bolt detection signal, the result shows that the ICEEMD-De method is capable of correctly separating the different IMFs under noisy conditions and also that the IMF can effectively identify the reflection signal of the end of the bolt.
机译:螺栓的施工质量直接关系到项目的安全性,因此必须进行测试。本文将改进的完全集成经验模态分解(ICEEMD)方法引入到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。 IMF的噪声通过小波软阈值降噪技术消除。基于近似熵和小波去噪原理,提出了ICEEMD-De锚信号分析方法。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可以有效地识别振动信号。螺栓的末端。

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