A Current Signal-Based Adaptive Semisupervised Framework for Bearing Faults Diagnosis in Drivetrains

In most practical applications of fault diagnosis methods, two problems will inevitably arise. First, limited by the monitored object itself and its environment, accelerators are difficult to install. Second, industrial applications lack data with fault labels, which limits the use of data-driven-ba...

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Veröffentlicht in:IEEE transactions on instrumentation and measurement Jg. 70; S. 1 - 12
Hauptverfasser: Li, Jie, Wang, Yu, Zi, Yanyang, Sun, Xiaojie, Yang, Ying
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0018-9456, 1557-9662
Online-Zugang:Volltext
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