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

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

Abstract 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 preproce...

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Bibliographic Details
Main Authors: Wenbo Xuan, Pengchao Chen, Rui Li, Fuxiang Wang, Kuan Fu, Zhitao Wen
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-96282-2
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