Bolt Detection Signal Analysis Method Based on ICEEMD

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.

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

[2]  Gu Shuan-chen Influence Analysis of Anchoring Defects on Bolt Pull-out Load , 2013 .

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

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

[5]  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).

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

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

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

[9]  Wasim Maziak,et al.  MedCHAMPS: mediterranean studies of cardiovascular disease and hyperglycaemia: analytical modelling of population socio-economic transitions , 2014, International Journal of Public Health.

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

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

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

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

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

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

[16]  Jong-Sub Lee,et al.  Evaluation of rock bolt integrity using Fourier and wavelet transforms , 2012 .

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

[18]  Janusz Mroczka,et al.  Gabor Transform, SPWVD, Gabor-Wigner Transform and Wavelet Transform - Tools For Power Quality Monitoring , 2010 .

[19]  Dejie Yu,et al.  Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings , 2005 .

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

[21]  Li Qi Development of Bolt’s Testing Technique , 2005 .

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

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

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

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

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

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

[28]  Jing Li,et al.  GPR Signal Denoising and Target Extraction With the CEEMD Method , 2015, IEEE Geoscience and Remote Sensing Letters.

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

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

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

[32]  Abdel-Ouahab Boudraa,et al.  EMD-Based Signal Filtering , 2007, IEEE Transactions on Instrumentation and Measurement.

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

[34]  Yaguo Lei,et al.  EEMD method and WNN for fault diagnosis of locomotive roller bearings , 2011, Expert Syst. Appl..

[35]  Gangbing Song,et al.  Real time bolt preload monitoring using piezoceramic transducers and time reversal technique—a numerical study with experimental verification , 2016, Smart Materials and Structures.

[36]  Gabriel Rilling,et al.  Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.