Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers

no code implementations • TRANSACTIONS ON INDUSTRIAL INFORMA TICS 2021 • un Zhu, Cheng-Geng Huang

The new adversarial domain adaptation network with diverse supplementary classifiers can effectively iden- tify the unknown and known fault categories in the target domain and bridge the domain shift between the common fault category of the source and target domain.

Domain Adaptation Transfer Learning

A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines

no code implementations • TRANSACTIONS ON INDUSTRIAL INFORMA TICS 2020 • un Zhu, Nan Chen, Member, IEEE, and Changqing Shen

To solve this issue, transfer learning is proposed by leveraging knowl- edge learned from source domain to target domain.

Domain Adaptation Transfer Learning