Access the full text.
Sign up today, get DeepDyve free for 14 days.
Z. Hou, M. Noori, R. Amand (2000)
Wavelet-Based Approach for Structural Damage DetectionJournal of Engineering Mechanics-asce, 126
(1993)
Vibrational based inspection of civil engineering structures. Doctoral Dissertation
H. Khatam, A. Golafshani, S. Beheshti-Aval, M. Noori (2007)
Harmonic Class Loading for Damage Identification in Beams Using Wavelet AnalysisStructural Health Monitoring, 6
M. Taha, J. Lucero (2005)
Damage identification for structural health monitoring using fuzzy pattern recognitionEngineering Structures, 27
Pengbo Wang, Qinghe Shi (2018)
Damage Identification in Structures Based on Energy Curvature Difference of Wavelet Packet TransformShock and Vibration
B. Asgarian, V. Aghaeidoost, H. Shokrgozar (2016)
Damage detection of jacket type offshore platforms using rate of signal energy using wavelet packet transformMarine Structures, 45
M. Kaloop, J. Hu (2016)
Damage Identification and Performance Assessment of Regular and Irregular Buildings Using Wavelet Transform EnergyAdvances in Materials Science and Engineering, 2016
N. Huang, Zheng Shen, S. Long, Manli Wu, Hsing Shih, Q. Zheng, N. Yen, C. Tung, Henry Liu (1998)
The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysisProceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 454
A. Elshafey, M. Haddara, H. Marzouk (2010)
Damage detection in offshore structures using neural networksMarine Structures, 23
Sirshendu Hore, Sankhadeep Chatterjee, S. Sarkar, N. Dey, A. Ashour, Dana Balas-Timar, V. Balas (2016)
Neural-based prediction of structural failure of multistoried RC buildingsStructural Engineering and Mechanics, 58
S. Haykin (1994)
Neural Networks: A Comprehensive Foundation
D. Hamidian, J. Salajegheh, E. Salajegheh (2018)
Damage Detection of Irregular Plates and Regular Dams by Wavelet Transform Combined Adoptive Neuro Fuzzy Inference SystemCivil Engineering Journal, 4
Hansang Kim, H. Melhem (2004)
Damage detection of structures by wavelet analysisEngineering Structures, 26
M. Delavar, K. Bargi (2018)
Prediction of Local Seismic Damage in Jacket-type Offshore Platforms, 2
A. Ovanesova, L. Suárez (2004)
Applications of wavelet transforms to damage detection in frame structuresEngineering Structures, 26
D. Newland (1994)
Wavelet Analysis of Vibration: Part 1—TheoryJournal of Vibration and Acoustics, 116
Chen Yang, S. Oyadiji (2017)
Damage detection using modal frequency curve and squared residual wavelet coefficients-based damage indicatorMechanical Systems and Signal Processing, 83
M. Rucka, K. Wilde (2006)
Application of continuous wavelet transform in vibration based damage detection method for beams and platesJournal of Sound and Vibration, 297
H. Razak, S. Hakim (2014)
Modal parameters based structural damage detection using artificial neural networks - a reviewSmart Structures and Systems, 14
T. Yi, Hongnan Li, Hong-Min Sun (2013)
Multi-stage structural damage diagnosis method based on "energy-damage" theorySmart Structures and Systems, 12
Mohammadreza Vafaei, A. Adnan (2014)
Seismic damage detection of tall airport traffic control towers using wavelet analysisStructure and Infrastructure Engineering, 10
Y. Raptodimos, I. Lazakis (2018)
Using artificial neural network-self-organising map for data clustering of marine engine condition monitoring applicationsShips and Offshore Structures, 13
S. Mallat (1998)
A wavelet tour of signal processing
ectures on Wavelets ( SIAM , P hiladelphia , 1 992 ) . [ 1 0 ] . J ouault , F . S é bille and V . de la Mota , Nucl . P hys
M. Mehrjoo, N. Khaji, H. Moharrami, A. Bahreininejad (2008)
Damage detection of truss bridge joints using Artificial Neural NetworksExpert Syst. Appl., 35
S. Suresh, S. Omkar, R. Ganguli, V. Mani (2004)
Identification of crack location and depth in a cantilever beam using a modular neural network approachSmart Materials and Structures, 13
Jeong‐Tae Kim, Jae-Hyung Park, K. Koo, Jong-Jae Lee (2008)
Acceleration-based neural networks algorithm for damage detection in structuresSmart Structures and Systems, 4
R. Serra, Lautaro Lopez (2017)
Damage detection methodology on beam-like structures based on combined modal Wavelet Transform strategyMechanics & Industry, 18
Mohammad Delavar, K. Bargi (2020)
Seismic Response Control of Offshore Platforms Equipped with Optimum Localization of SMA
Jann Yang, Y. Lei, Shu-Hui Lin, N. Huang (2004)
Hilbert-Huang Based Approach for Structural Damage DetectionJournal of Engineering Mechanics-asce, 130
Davood Rezaei, F. Taheri (2011)
Damage identification in beams using empirical mode decompositionStructural Health Monitoring, 10
You‐lin Xu, Jian Chen (2004)
STRUCTURAL DAMAGE DETECTION USING EMPIRICAL MODE DECOMPOSITION: EXPERIMENTAL INVESTIGATIONJournal of Engineering Mechanics-asce, 130
A. Samant, H. Adeli (2001)
Enhancing Neural Network Traffic Incident‐Detection Algorithms Using WaveletsComputer‐Aided Civil and Infrastructure Engineering, 16
G. Riddihough (2008)
Damage DetectionScience Signaling, 1
W. Fan, P. Qiao (2009)
A 2-D continuous wavelet transform of mode shape data for damage detection of plate structuresInternational Journal of Solids and Structures, 46
Jeong‐Tae Kim, N. Stubbs (1995)
Damage Detection In Offshore Jacket Structures From Limited Modal InformationInternational Journal of Offshore and Polar Engineering, 5
Xiang Shi, T. Matsui, H. Li, Chen Gong (2007)
A Damage Detection Algorithm Based On Partial Measurement For Offshore Jacket Platforms
S. Aval, V. Ahmadian, Mohammad Maldar, E. Darvishan (2020)
Damage detection of structures using signal processing and artificial neural networksAdvances in Structural Engineering, 23
S. Doebling, C. Farrar, M. Prime, D. Shevitz (1996)
Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review
Xiaomo Jiang, H. Adeli (2007)
Pseudospectra, MUSIC, and dynamic wavelet neural network for damage detection of highrise buildingsInternational Journal for Numerical Methods in Engineering, 71
M. Cao, Yukai Ding, W. Ren, Quan Wang, M. Ragulskis, Z. Ding (2017)
Hierarchical Wavelet-Aided Neural Intelligent Identification of Structural Damage in Noisy ConditionsApplied Sciences, 7
M. Solís, Q. Ma, P. Galvín (2018)
Damage detection in beams from modal and wavelet analysis using a stationary roving mass and noise estimationStrain, 54
L. Yam, Y. Yan, J. Jiang (2003)
Vibration-based damage detection for composite structures using wavelet transform and neural network identificationComposite Structures, 60
With the help of Structural Health Monitoring (SHM) methods, it is possible to identify the occurrence of damage at its early stages and prevent fatality and financial damages. Great advances in signal processing methods in combination with Machine learning tools have led to better achieve this goal. In the present paper, the two major techniques, that is, Empirical Mode Decomposition (EMD) and Discrete Wavelet Transform (DWT) are combined with Artificial Neural Network (ANN) through processing raw acceleration responses measured on a scaled jacket type offshore platform which was constructed and tested as a benchmark structure at K.N. Toosi University of Technology. In this way, ANN was trained by the signals obtained from EMD and DWT for three different conditions of the jacket platform to determine the relative damage severity. The envelope of the obtained signal’s energy (ENV) as an appropriate damage index was used to determine the damage location. The results of the application of this procedure on the case study indicated that DWT, compared to EMD, is a more reliable signal processing method in damage detection due to better noise reduction.
Advances in Structural Engineering – SAGE
Published: Jun 1, 2021
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.