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Shock and Vibration
Volume 2018, Article ID 1590983, 10 pages
Research Article

Bolt Detection Signal Analysis Method Based on ICEEMD

1College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China
2Key Laboratory of Hydraulic and Waterway Engineering of the Ministry of Education, Chongqing Jiaotong University, Chongqing, China
3Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA

Correspondence should be addressed to Zhan Zhang; moc.qq@uhh_gnahznahz

Received 23 September 2017; Revised 9 January 2018; Accepted 28 February 2018; Published 18 April 2018

Academic Editor: Carlo Trigona

Copyright © 2018 Chunhui Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.