![]() Siqueira MHS, Gatts CEN, Da Silva RR, Rebello JMA (2004) The use of ultrasonic guided waves and wavelets analysis in pipe inspection. ĭu G, Kong Q, Wu F et al (2016) An experimental feasibility study of pipeline corrosion pit detection using a piezoceramic time reversal mirror. Ĭherif LH, Debbal SM, Bereksi-Reguig F (2010) Choice of the wavelet analyzing in the phonocardiogram signal analysis using the discrete and the packet wavelet transform. īandara S, Rajeev P, Gad E et al (2021) Health monitoring of timber poles using time–frequency analysis techniques and stress wave propagation. Wang P, Zhou W, Li H (2020) A singular value decomposition-based guided wave array signal processing approach for weak signals with low signal-to-noise ratios. Leinov E, Lowe MJS, Cawley P (2015) Investigation of guided wave propagation and attenuation in pipe buried in sand. Wilcox P, Lowe M, Cawley P (2001) Effect of dispersion on long-range inspection using ultrasonic guided waves. Soleimanpour R, Ng CT (2016) Scattering of the fundamental anti-symmetric Lamb wave at through-thickness notches in isotropic plates. Hayashi T, Tamayama C, Murase M (2006) Wave structure analysis of guided waves in a bar with an arbitrary cross-section. Įl Najjar J, Mustapha S (2020) Understanding the guided waves propagation behavior in timber utility poles. īagheri A, Rizzo P, Li K (2017) Ultrasonic imaging algorithm for the health monitoring of pipes. Vogelaar B, Golombok M (2016) Quantification and localization of internal pipe damage. This method has a strong noise immunity and significantly improves the sensitivity of small defects detection in pipelines. The experimental studies show that the proposed method is validity for detecting small defects in pipeline, and simultaneously identify the size and location of the defects. By scanning the recording signal, the defect location can be identified using the damage index. Furthermore, a time-moving window function is introduced. By analyzing the influence of UGW on the driving force amplitude of the Duffing equation, a sensitive damage index is constructed to indicate the signal strength. To realize the quantitative detection of UGW, a method based on information entropy is presented in this paper. When the weak UGW is added on the driving force, the state of the Duffing system will change. First, by adjusting the driving force amplitude of the Duffing system, the system is in a critical state from period to chaos. It can simultaneously identify the location and size of small defects in pipelines. In this paper, a quantitative detection method of the weak ultrasonic guided wave (UGW) signal based on information entropy of the Duffing chaotic system is proposed.
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