Rotor Fault Diagnosis Using Domain-Adversarial Neural Network with Time-Frequency Analysis
Intelligent fault diagnosis of rotors always requires a large amount of labeled samples, but insufficient vibration signals can be obtained in operational rotor systems for detecting the fault modes. To solve this problem, a domain-adaptive transfer learning model based on a small number of samples...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
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Series: | Machines |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1702/10/8/610 |