Journal article
Cross-Domain Compound Fault Diagnosis of Machine-Level Motors via TimeFrequency Self-Contrastive Learning
Abstract
Intelligent fault diagnosis of industrial motors under different operating conditions is a valuable and challenging topic. Compound faults are inevitable to occur under different operating conditions. Due to the high cost of dismantling and testing, it is impractical to collect and label all compound fault types under different operating conditions. This article proposes a cross-domain compound fault diagnosis framework of machine-level motors …
Authors
He Y; Zhao C; Shen W
Journal
IEEE Transactions on Industrial Informatics, Vol. 20, No. 7, pp. 9692–9701
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/tii.2024.3384603
ISSN
1551-3203