Hierarchical Adaptive Wavelet-Guided Adversarial Network with Physics-Informed Regularization for Generating Multiscale Vibration Signals for Deep Learning-Based Fault Diagnosis of Rotating Machines

Hierarchical Adaptive Wavelet-Guided Adversarial Network with Physics-Informed Regularization for Generating Multiscale Vibration Signals for Deep Learning-Based Fault Diagnosis of Rotating Machines

Rotating machines predominantly operate under healthy conditions, leading to a limited availability of fault data and a significant class imbalance in diagnostic datasets. These challenges hinder the development and deployment of fault diagnosis methods based on deep learning in practice. Considerin...

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Bibliographic Details
Main Authors: Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Automation
Subjects:
fault diagnosis
class imbalance
small fault data
GAN
physics-informed neural network
rotating machines
Online Access:https://www.mdpi.com/2673-4052/6/2/14
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