LSTM-Based Autoencoder with Maximal Overlap Discrete Wavelet Transforms Using Lamb Wave for Anomaly Detection in Composites

LSTM-Based Autoencoder with Maximal Overlap Discrete Wavelet Transforms Using Lamb Wave for Anomaly Detection in Composites

Lamb-wave-based structural health monitoring is widely acknowledged as a reliable method for damage identification, classification, localization and quantification. However, due to the complexity of Lamb wave signals, especially after interacting with structural components and defects, interpreting...

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Bibliographic Details
Main Authors:	Syed Haider Mehdi Rizvi, Muntazir Abbas, Syed Sajjad Haider Zaidi, Muhammad Tayyab, Adil Malik
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	Applied Sciences
Subjects:	structural health monitoring deep learning Lamb waves autoencoder anomaly detection
Online Access:	https://www.mdpi.com/2076-3417/14/7/2925

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