Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines

•A noise reduction and recognition method for weak ultrasonic guided wave signal is proposed.•A weak ultrasonic guided wave signal feature extraction method for guided wave detection is proposed.•The denoising autoencoder integrated with convolutional neural network has good signal denoising ability...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 242; S. 116234
Hauptverfasser:	Wu, Jing, Yang, Yingfeng, Lin, Zeyu, Lin, Yizhou, Wang, Yan, Zhang, Weiwei, Ma, Hongwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2025
Schlagworte:	Convolutional neural networks Defect recognition Denoising autoencoder Pipelines Ultrasonic guided waves Denoising autoencoder Ultrasonic guided waves Defect recognition Convolutional neural networks Pipelines
ISSN:	0263-2241
Online-Zugang:	Volltext
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