DeepSHM: A Deep Learning Approach for Structural Health Monitoring Based on Guided Lamb Wave Technique

doi 10.1117/12.2506794
Full Text
Abstract

Available in full text

Date
Authors
Publisher

SPIE

Related search

Maximum-Likelihood Estimation of Damage Location in Guided-Wave Structural Health Monitoring

Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
MathematicsEngineeringAstronomyPhysics
2011English

Guided-Wave Signal Processing Using Chirplet Matching Pursuits and Mode Correlation for Structural Health Monitoring

Smart Materials and Structures
Mechanics of MaterialsElectronic EngineeringSignal ProcessingCondensed Matter PhysicsMaterials ScienceCivilMolecular Physics,Structural EngineeringElectricalAtomicOptics
2007English

Plate-Wave Diffraction Tomography for Structural Health Monitoring

AIP Conference Proceedings
AstronomyPhysics
2003English

Elastic Wave Propagation Development for Structural Health Monitoring

English

A Deep Learning Approach for Condition-Based Monitoring and FaultDiagnosis of Rod Pump System

2017English

A Review of the Piezoelectric Electromechanical Impedance Based Structural Health Monitoring Technique for Engineering Structures

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2018English

Investigations of the Guided Wave Data Analysis Capabilities in Structural Health Monitoring of Composite Objects

Ultrasound
2011English

A Deep Learning Based Technique for Plagiarism Detection: A Comparative Study

IAES International Journal of Artificial Intelligence
ControlSystems EngineeringInformation SystemsElectronic EngineeringManagementElectricalArtificial Intelligence
2020English

Damage Detection in a Plate Structure Based on FBG Sensing Technique Under a Single-Mode Lamb Wave

International Journal of Online Engineering
EngineeringE-learning
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy