Data synthesis using dual discriminator conditional generative adversarial networks for imbalanced fault diagnosis of rolling bearings
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.107741
Abstract: Abstract Diagnosis of rolling bearings plays an important role in condition monitoring of industrial rotating machinery. In many actual applications, rolling bearings work in normal state at most time and faulty samples are difficult to… read more here.
Keywords: generative adversarial; diagnosis; imbalanced fault; fault diagnosis ... See more keywords
PCWGAN-GP: A New Method for Imbalanced Fault Diagnosis of Machines
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3180431
Abstract: In real industrial scenarios, machines work in a healthy condition at most time. Thus, the number of healthy samples is far more than that of the fault ones. This results in the issue about data… read more here.
Keywords: fault diagnosis; diagnosis; loss; method imbalanced ... See more keywords