Diffusion model-assisted cross-domain fault diagnosis for rotating machinery under limited data

Yongchao Zhang; Zhiyuan Wang; Caizi Fan; Zeyu Jiang; Kun Yu; Zhaohui Ren; Ke Feng

doi:10.1016/j.ress.2025.111372

ScienceGate Book Chapters

JOURNAL ARTICLE

Diffusion model-assisted cross-domain fault diagnosis for rotating machinery under limited data

Yongchao Zhang Zhiyuan Wang Caizi Fan Zeyu Jiang Kun Yu Zhaohui Ren Ke Feng

Year: 2025 Journal: Reliability Engineering & System Safety Vol: 264 Pages: 111372-111372 Publisher: Elsevier BV

DOI: 10.1016/j.ress.2025.111372

Get Full-Text PDF Get Analytical Report

Keywords:

Domain (mathematical analysis) Diffusion Fault (geology) Computer science Engineering Reliability engineering Mathematics Physics Geology Mathematical analysis Thermodynamics

Metrics

Cited By

14.87

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Engineering Diagnostics and Reliability

Physical Sciences → Engineering → Mechanics of Materials

Oil and Gas Production Techniques

Physical Sciences → Engineering → Ocean Engineering

Diffusion model-assisted cross-domain fault diagnosis for rotating machinery under limited data

Metrics

Citation History

Topics

Related Documents

Diffusion-assisted framework for fault diagnosis of rotating machinery under highly imbalanced data conditions

Enhancing Domain Generalization in Rotating Machinery Fault Diagnosis Through Diffusion Model-Based Data Augmentation

Cross-Domain Adaptation Using Domain Interpolation for Rotating Machinery Fault Diagnosis

Frequency-Assisted Contrastive Learning With Cyclic Fine-Tuning for Rotating Machinery Fault Diagnosis Under Limited Labeled Data

Semisupervised High-Order Graph Diffusion Network for Cross-Domain Fault Diagnosis of Rotating Machinery