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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