A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning
Sign Up to like & getrecommendations! Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.107043
Abstract: Abstract Limited condition monitoring data are recorded with label information in practice, which make the fault identification task more challenging. A semi-supervised learning (SSL) approach can be employed to increase the identification performance of the… read more here.
Keywords: labeled samples; limited labeled; fault; fault diagnosis ... See more keywords
A MFL Mechanism-Based Self-Supervised Method for Defect Detection With Limited Labeled Samples
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3212041
Abstract: The defect detection of magnetic flux leakage (MFL) in-line inspection is of great importance for pipeline safety transportation. However, it is difficult for conventional defect detection methods to achieve satisfactory results with limited labeled samples.… read more here.
Keywords: defect detection; detection; limited labeled; method ... See more keywords