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

The construction quality of the bolt is directly related to the safety of the project. The construction quality of the bolt anchorage must be tested. In this paper, the improved complete ensemble empirical mode decomposition (ICEEMD) method is introduced into the bolt detection signal analysis. The ICEEMD is used 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 de-noising technique. Based on the approximate entropy and the wavelet de-noising 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 able to correctly separate the different IMFs under the noisy condition, and the IMF can effectively identify the reflection signal of the end of the bolt.

[1]  Jouni Helske,et al.  Ensemble Empirical Mode Decomposition (EEMD) and Its CompleteVariant (CEEMDAN) , 2015 .

[2]  Richard David Neilson,et al.  The influence of load on the frequency response of rock bolt anchorage , 2003 .

[3]  Norden E. Huang,et al.  Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..

[4]  Jianguo Ning,et al.  Propagation properties of guided wave in the anchorage structure of rock bolts , 2009 .

[5]  Steve McLaughlin,et al.  Development of EMD-Based Denoising Methods Inspired by Wavelet Thresholding , 2009, IEEE Transactions on Signal Processing.

[6]  B. Stimpson.  A simple rock bolt pull-out test device for teaching purposes , 1984 .

[7]  Yangkang Chen,et al.  Dip-separated structural filtering using seislet transform and adaptive empirical mode decomposition based dip filter , 2016 .

[8]  Wei Liu,et al.  Applications of variational mode decomposition in seismic time-frequency analysis , 2016 .

[9]  T. Wang,et al.  Comparing the applications of EMD and EEMD on time-frequency analysis of seismic signal , 2012 .

[10]  Y. Jeng,et al.  Natural logarithm transformed EEMD instantaneous attributes of reflection data , 2013 .

[11]  M.J.S. Lowe,et al.  Non-destructive testing of rock bolts using guided ultrasonic waves , 2003 .

[12]  Zhenzhong Shen,et al.  Ground-penetrating radar time-frequency analysis method based on synchrosqueezing wavelet transformation , 2016 .

[13]  Zhenzhong Shen,et al.  Low strain pile testing based on synchrosqueezing wavelet transformation analysis , 2016, Journal of Vibroengineering.

[14]  Lu Gan,et al.  A De-Noising Method for GPR Signal Based on EEMD , 2014, CIT 2014.

[15]  Chen Min,et al.  Factors in quality of special bolts based on sonic non-destructive detection , 2009 .

[16]  Jinhai Xu,et al.  Filtering Detecting Signal of Rockbolt with Harmonic Wavelet , 2010 .

[17]  Gangbing Song,et al.  A Review of Rock Bolt Monitoring Using Smart Sensors , 2017, Sensors.

[18]  Patrick Flandrin,et al.  A complete ensemble empirical mode decomposition with adaptive noise , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[19]  Norden E. Huang,et al.  Biomedical Data Processing Using HHT: A Review , 2009 .

[20]  Xueli An,et al.  Denoising of hydropower unit vibration signal based on variational mode decomposition and approximate entropy , 2016 .

[21]  María Eugenia Torres,et al.  Improved complete ensemble EMD: A suitable tool for biomedical signal processing , 2014, Biomed. Signal Process. Control..

[22]  Magdalena Rucka,et al.  Elastic Wave Propagation for Condition Assessment of Steel Bar Embedded in Mortar , 2015 .

[23]  Norden E. Huang,et al.  A review on Hilbert‐Huang transform: Method and its applications to geophysical studies , 2008 .

[24]  Wang Shu-guang.  EMD ANALYSIS OF NORTHERN HEMISPHERE TEMPERATURE VARIABILITY DURING LAST 4 CENTURIES , 2004 .

[25]  Ying Zhang,et al.  Ensemble empirical mode decomposition of impact-echo data for testing concrete structures , 2012 .