A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data

• Published in: Scientific reports Vol. 15; no. 1; pp. 11455 - 13
• Main Authors: Xuan, Wenbo, Chen, Pengchao, Li, Rui, Wang, Fuxiang, Fu, Kuan, Wen, Zhitao
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.04.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/987; 639/166/988; Compression; Data compression; Decompression; Humanities and Social Sciences; multidisciplinary; Nondestructive testing; Pipelines; Science; Science (multidisciplinary)

In response to the issue of massive data volume generated by magnetic flux leakage (MFL) non-destructive testing in oil and gas pipelines, an intelligent data compression method based on a targeted one-dimensional fully convolutional autoencoder network is proposed. Firstly, a data preprocessing mod...