Machine learning-based denoising of acoustic emission signals for fatigue crack growth monitoring in metallic piping materials

Measurement 2026

View at publisher

Authors: Z.Y. Wu, Mengyu Chai, Zhenghui Mo, Ke Zuo, Hao Li

DOI: 10.1016/j.measurement.2026.122046

Cited by: 1

References: 74

Fields of Study & Subjects

Ultrasonics and Acoustic Wave Propagation Material Properties and Failure Mechanisms Fatigue and fracture mechanics

References 74