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...

Celý popis

Podrobná bibliografia

Vydané v:	Measurement : journal of the International Measurement Confederation Ročník 242; s. 116234
Hlavní autori:	Wu, Jing, Yang, Yingfeng, Lin, Zeyu, Lin, Yizhou, Wang, Yan, Zhang, Weiwei, Ma, Hongwei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!