First-arrival picking of acoustic emission based on small-size CNN and dynamic threshold method

Key Points

• Enhanced detection capabilities through a small-size CNN improve accuracy.
• The dynamic threshold method offers effective signal processing in challenging environments.
• Utilization of machine learning in the acoustic emission domain can lead to more rapid analyses.
• Findings demonstrate potential improvements in operational efficiency within geological assessments.