An Artificial Intelligence Approach to Fatigue Crack Length Estimation from Acoustic Emission Waves in Thin Metallic Plates

An Artificial Intelligence Approach to Fatigue Crack Length Estimation from Acoustic Emission Waves in Thin Metallic Plates

The acoustic emission (AE) technique has become a well-established method of monitoring structural health over recent years. The sensing and analysis of elastic AE waves, which have involved piezoelectric wafer active sensors (PWAS) and time domain and frequency domain analysis, has proven to be eff...

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Bibliographic Details
Main Authors: Joseph Chandler Garrett, Hanfei Mei, Victor Giurgiutiu
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Applied Sciences
Subjects:
structural health monitoring
artificial intelligence
acoustic emission waves
fatigue cracking
guided wave
damage detection
Online Access:https://www.mdpi.com/2076-3417/12/3/1372

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