Gearbox Fault Diagnosis under Varying Operating Conditions through Semi-Supervised Masked Contrastive Learning and Domain Adaptation
Abstract
To address the issue of scarce labeled samples and operational condition variations that degrade the accuracy of fault diagnosis models in variable-condition gearbox fault diagnosis, this paper proposes a semi-supervised mask... | Find, read and cite all the research you need on Tech Science Press
Fields of Study & Subjects
Machine Fault Diagnosis Techniques
Gear and Bearing Dynamics Analysis
Fault Detection and Control Systems
Publication details
- Journal / source
- Computer Modeling in Engineering & Sciences
- Volume
- 146
- Issue
- 2
- Pages
- 1–10
- Publication date
- 1 January 2026
- Language
- EN