Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning

Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning

Motor fault diagnosis based on deep learning frameworks has gained much attention from academic research and industry to guarantee motor reliability. Those methods are commonly under two default assumptions: 1) massive labeled training samples and 2) the training and test data share a similar distri...

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Bibliographic Details
Main Authors: Dengyu Xiao, Yixiang Huang, Lujie Zhao, Chengjin Qin, Haotian Shi, Chengliang Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Motor fault diagnosis
transfer learning
domain adaptation
convolutional neural network (CNN)
Online Access:https://ieeexplore.ieee.org/document/8732382/

Internet

https://ieeexplore.ieee.org/document/8732382/

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