A Multisensor Cycle-Supervised Convolutional Neural Network for Anomaly Detection on Magnetic Flux Leakage Signals
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DOI: 10.1109/tii.2022.3146152
Abstract: To improve the validity of magnetic flux leakage (MFL) multisensor signals, anomaly detection has become a significant part of MFL signal processing. The anomalies in MFL are uncertain and have no prior information or labels.… read more here.
Keywords: flux leakage; cycle supervised; detection; anomaly detection ... See more keywords