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An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

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Year: 2019
Type: article
Source: Mechanical Systems and Signal Processing
DOI: 10.1016/j.ymssp.2018.12.051
Authors: Bin Yang, Yaguo Lei, Feng Jia, Saibo Xing
Institution: Xi'an Jiaotong University
Language: English

Topic: Machine Fault Diagnosis Techniques
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, U.S. Bureau of Land Management, National Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization
Awards: G2320743339, G5775067451
OpenAlex ID: W2907541186
FWCI: 58.33
Cites: 37
Cited by: 878
Related to: 10
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