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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Vydané v:	Sustainability Ročník 15; číslo 10; s. 8034
Hlavní autori:	Li, Xueyi, Yu, Tianyu, Li, Daiyou, Wang, Xiangkai, Shi, Cheng, Xie, Zhijie, Kong, Xiangwei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.05.2023
Predmet:	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
On-line prístup:	Získať plný text
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