Integrated electromechanical impedance technique with convolutional neural network for concrete structural damage quantification under varied temperatures
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Title
Integrated electromechanical impedance technique with convolutional neural network for concrete structural damage quantification under varied temperatures
Authors
Keywords
Electromechanical admittance, Convolutional neural network, Temperature recognition, Damage quantification, Orthogonal matching pursuit, Pearson correlation coefficient
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 152, Issue -, Pages 107467
Publisher
Elsevier BV
Online
2020-12-22
DOI
10.1016/j.ymssp.2020.107467
References
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Related references
Note: Only part of the references are listed.- Temperature effect on electromechanical admittance–based concrete structural health monitoring
- (2019) Demi Ai et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
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- (2016) Tomasz Wandowski et al. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
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- (2016) Wongi S Na et al. JOURNAL OF SOUND AND VIBRATION
- Convolutional Neural Network Based Fault Detection for Rotating Machinery
- (2016) Olivier Janssens et al. JOURNAL OF SOUND AND VIBRATION
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- An Experimental Study on the Effect of Temperature on Piezoelectric Sensors for Impedance-Based Structural Health Monitoring
- (2014) Fabricio Baptista et al. SENSORS
- Smart monitoring of aeronautical composites plates based on electromechanical impedance measurements and artificial neural networks
- (2013) Pierre Selva et al. ENGINEERING STRUCTURES
- Impedance-based structural health monitoring incorporating neural network technique for identification of damage type and severity
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- Temperature variation effect compensation in impedance-based structural health monitoring using neural networks
- (2011) N. Sepehry et al. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
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- (2011) Yun-Kyu An et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Impedance based damage detection under varying temperature and loading conditions
- (2011) Hyung Jin Lim et al. NDT & E INTERNATIONAL
- Real-time multi-sensors measurement system with temperature effects compensation for impedance-based structural health monitoring
- (2011) Fabricio G Baptista et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit
- (2010) Deanna Needell et al. IEEE Journal of Selected Topics in Signal Processing
- Time Reversal Based Piezoelectric Transducer Self-diagnosis Under Varying Temperature
- (2010) Sang Jun Lee et al. JOURNAL OF NONDESTRUCTIVE EVALUATION
- Impedance-based structural health monitoring using neural networks for autonomous frequency range selection
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- Temperature corrected sensor diagnostics for impedance-based SHM
- (2009) Benjamin L. Grisso et al. JOURNAL OF SOUND AND VIBRATION
- An outlier analysis of MFC-based impedance sensing data for wireless structural health monitoring of railroad tracks
- (2008) Seunghee Park et al. ENGINEERING STRUCTURES
- An Introduction To Compressive Sampling
- (2008) E.J. Candes et al. IEEE SIGNAL PROCESSING MAGAZINE
- Automated Impedance-based Structural Health Monitoring Incorporating Effective Frequency Shift for Compensating Temperature Effects
- (2008) Ki-Young Koo et al. JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
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