A Novel Sensor Heterogeneous Federated Domain Generalization Method Based on Prototype Contrastive Learning for Intelligent Fault Diagnosis
- 1 November 2026
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Internet of Things Journal
- Vol. 13 (22) , 52230-52243
Abstract
No abstract availableFunding Information
- Natural Science Foundation of Hunan Province (2026JJ50235)
- Scientific Research Foundation of Hunan Provincial Education Department (24A0391)
- National Natural Science Foundation for Young Scientists of China (61702177)
This publication has 35 references indexed in Scilit:
- Multimodal unified generalization and translation network for intelligent fault diagnosis under dynamic environmentsEngineering Applications of Artificial Intelligence, 2025
- ModiFedCat: A multi-modal distillation based federated catalytic frameworkInformation Fusion, 2025
- A dual-perspective joint domain generalization network for bearing fault diagnosis under unseen working conditionsAdvanced Engineering Informatics, 2025
- Cross-modal prototype based multimodal federated learning under severely missing modalityInformation Fusion, 2025
- Towards Multi-modal Transformers in Federated Learning2024
- Intelligent fault diagnosis of rolling bearing based on an active federated local subdomain adaptation methodAdvanced Engineering Informatics, 2024
- Multimodal federated learning: Concept, methods, applications and future directionsInformation Fusion, 2024
- Fault diagnosis in rotating machines based on transfer learning: Literature reviewKnowledge-Based Systems, 2023
- Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacyKnowledge-Based Systems, 2023
- Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosisData in Brief, 2023