A Migration Learning Method Based on Adaptive Batch Normalization Improved Rotating Machinery Fault Diagnosis

Sustainable development has become increasingly important as one of the key research directions for the future. In the field of rotating machinery, stable operation and sustainable performance are critical, focusing on the fault diagnosis of component bearings. However, traditional normalization met...

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Bibliographic Details
Published in:	Sustainability Vol. 15; no. 10; p. 8034
Main Authors:	Li, Xueyi, Yu, Tianyu, Li, Daiyou, Wang, Xiangkai, Shi, Cheng, Xie, Zhijie, Kong, Xiangwei
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2023
Subjects:	Accuracy Adaptation Algorithms Bearings Datasets Deep learning Fault diagnosis Fourier transforms Industrial production Machine learning Machinery Methods Neural networks Sustainability Sustainable development Wavelet transforms China Germany
ISSN:	2071-1050, 2071-1050
Online Access:	Get full text
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