A novel deep multi-source domain adaptation framework for bearing fault diagnosis based on feature-level and task-specific distribution alignment

Author:

Rezaeianjouybari Behnoush,Shang Yi

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference56 articles.

1. A comprehensive survey on domain adaptation for visual applications;Csurka;Adv. Comput. Vis. Pattern Recognit.,2017

2. B. Rezaeianjouybari and Y. Shang, “Deep learning for prognostics and health management: State of the art, challenges, and opportunities,” Measurement, p. 107929, 2020.

3. A New Method for Intelligent Fault Diagnosis of Machines based on Unsupervised Domain Adaptation;Lu;Neurocomputing,2020

4. Deep model-based domain adaptation for fault diagnosis;Lu;IEEE Trans. Ind. Electron.,2017

5. X. Wang, H. He, and L. Li, “A Hierarchical Deep Domain Adaptation Approach for Fault Diagnosis of Power Plant Thermal System,” IEEE Trans. Ind. Informatics, vol. PP, no. XX, pp. 1–1, 2019.

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