Crack Detection in Pipe Structures by Lifting Wavelet Finite Element Method

Xue Feng Chen; Bing Li; Zheng Jia He

doi:10.4028/www.scientific.net/KEM.413-414.143

Paper Titles

Semi-Quantitative Analysis of Defect in Pipelines through the Use of Technique of Ultrasonic Guided Waves
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Structural Damage Detection Accounting for Loss of Data in Wireless Network Sensors
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Investigation Frequency Resolution Effect on Hilbert Spectrum for Instantaneous Vibration Impact Signal Analysis
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Crack Detection in Pipe Structures by Lifting Wavelet Finite Element Method
p.143

Feature Extraction from Spectral Data Using the Bayesian Evidence Framework
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Application of Hilbert-Huang Transform Method on Fault Diagnosis for Wind Turbine Rotor
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Ensemble Empirical Mode Decomposition for Machine Health Diagnosis
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 413-414Crack Detection in Pipe Structures by Lifting...

Crack Detection in Pipe Structures by Lifting Wavelet Finite Element Method

Abstract:

Due to the fact that near a crack singularity, gradients of the solution are large and are also subject to abrupt changes, so that the solution cannot locally be accurately approximated by a piecewise polynomial function on a quasi-uniform mesh. Lifting wavelet finite element has good ability in modal analysis for singularity problems like a cracked pipe. The first three natural frequencies of the cracked pipe were solved with lifting wavelet finite element, and the database for crack diagnosis was obtained. The first three measured natural frequencies were employed as inputs and the intersection of the three frequencies contour lines predicted the normalized crack location and size. The experimental examples denote the method is of higher identification precision.

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Periodical:

Key Engineering Materials (Volumes 413-414)

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143-150

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.413-414.143

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Online since:

June 2009

Authors:

Xue Feng Chen, Bing Li, Zheng Jia He

Keywords:

Crack, Fault Diagnosis, Finite Element, Lifting Wavelet

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