Fault Diagnosis Method for Imbalanced Data of Rotating Machinery Based on Time Domain Signal Prediction and SC-ResNeSt

In an actual engineering environment, some rotating machines are usually in normal operation, but their time in a fault state is very short, which leads to a serious imbalance in the fault diagnosis datasets for rotating machinery, and gives the traditional network model the shortcomings of poor sta...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Haitao Wang, Yifan Guo, Xiang Liu, Jie Yang, Xiheng Zhang, Lichen Shi
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Fault diagnosis Gram angle field rotary machine self-calibration convolution split-attention
Online Access:	https://ieeexplore.ieee.org/document/10105303/