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Online Gmaw Defect Detection and Penetration Estimation System Using Acoustic Transfer Mode Monitoring
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inferredcites →https://doi.org/10.1007/s00170-015-8095-xopenalex-extracted
Monitoring of laser welding using source localization and tracking processing by microphone array
inferredcites →https://doi.org/10.1007/s00170-016-9343-4openalex-extracted
Porosity detection by analyzing arc sound signal acquired during the welding process of gas pipeline steel
inferredcites →https://doi.org/10.1007/s00170-017-1484-6openalex-extracted
Instant detection of porosity in gas metal arc welding by using probability density distribution and control chart
inferredcites →https://doi.org/10.1007/s00170-018-3042-2openalex-extracted
Real-time monitoring of welding process using air-coupled ultrasonics and acoustic emission
inferredcites →https://doi.org/10.1007/s00170-019-04424-4openalex-extracted
Artificial Neural Network Controlled GMAW System: Penetration and Quality Assurance in a Multi-Pass Butt Weld Application
inferredcites →https://doi.org/10.1007/s00170-021-07305-xopenalex-extracted
Classification of transfer modes in gas metal arc welding using acoustic signal analysis
inferredcites →https://doi.org/10.1007/s00170-021-08428-xopenalex-extracted
A calibration tool for weld penetration depth estimation based on dimensional and thermal sensor fusion
inferredcites →https://doi.org/10.1007/s10845-009-0267-9openalex-extracted
A neural network and multiple regression method for the characterization of the depth of weld penetration in laser welding based on acoustic signatures
inferredcites →https://doi.org/10.1007/s10845-014-0971-yopenalex-extracted
Real-time seam penetration identification in arc welding based on fusion of sound, voltage and spectrum signals
inferredcites →https://doi.org/10.1007/s10845-020-01667-xopenalex-extracted
Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs
inferredcites →https://doi.org/10.1016/j.ijmachtools.2003.10.016openalex-extracted
Feasibility study of acoustic signals for on-line monitoring in short circuit gas metal arc welding
inferredcites →https://doi.org/10.1016/j.jmatprotec.2006.03.088openalex-extracted
Emission spectrometry evaluation in arc welding monitoring system
inferredcites →https://doi.org/10.1016/j.jmatprotec.2010.03.029openalex-extracted
Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding
inferredcites →https://doi.org/10.1016/j.jmatprotec.2017.02.029openalex-extracted
Pores formation in laser–MAG welding of 42CrMo steel
inferredcites →https://doi.org/10.1016/j.matpr.2020.12.159openalex-extracted
A study on weld defects classification in gas metal arc welding process using machine learning techniques
inferredcites →https://doi.org/10.1016/j.measurement.2019.106901openalex-extracted
Weld bead penetration state recognition in GMAW process based on a central auditory perception model
inferredcites →https://doi.org/10.1016/j.ymssp.2014.12.021openalex-extracted
Multisensor-based real-time quality monitoring by means of feature extraction, selection and modeling for Al alloy in arc welding
inferredcites →https://doi.org/10.1109/icma.2005.1626707openalex-extracted
Developing psycho-acoustic experiments in gas metal arc welding
inferredcites →https://doi.org/10.1243/09544054jem1320openalex-extracted
Feasibility study of using acoustic signals for online monitoring of the depth of weld in the laser welding of high-strength steels
inferredcites →https://doi.org/10.1243/095440603765226777openalex-extracted
Evaluation of the sound signal based on the welding current in the gas—metal arc welding process
inferredcites →https://doi.org/10.3390/jmmp5040135openalex-extracted
Detecting Process Anomalies in the GMAW Process by Acoustic Sensing with a Convolutional Neural Network (CNN) for Classification
inferredcites →https://doi.org/10.3390/ma11010128openalex-extracted
The Detection of Burn-Through Weld Defects Using Noncontact Ultrasonics
inferredcites →https://doi.org/10.3390/ma13102307openalex-extracted
Characterization of GMAW (Gas Metal Arc Welding) Penetration Using Ultrasonics
inferredcites →https://doi.org/10.3390/s18040962openalex-extracted
Sensor Fusion to Estimate the Depth and Width of the Weld Bead in Real Time in GMAW Processes
inferredcites →https://doi.org/10.3390/s90907150openalex-extracted
A Non-Intrusive GMA Welding Process Quality Monitoring System Using Acoustic Sensing
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