研究论文
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
Northeastern University China University of Mining and Technology Xi'an Jiaotong University
来源Reliability Engineering & System Safety
年份2025
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逐年被引趋势
30150
25
3026
关键指标
33
被引次数 · OpenAlex
12.53
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.7%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
55
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学术脉络
学科主题
工程Machine Fault Diagnosis Techniques
Fault Detection and Control Systems · Domain Adaptation and Few-Shot Learning
参考文献 55
Deep Domain Confusion: Maximizing for Domain Invariance
被引 2,285Eric Tzeng, Judy Hoffman, Ning Zhang · arXiv (Cornell University) · 2014
Deep Model Based Domain Adaptation for Fault Diagnosis
被引 766Weining Lu, Bin Liang, Yu Cheng · IEEE Transactions on Industrial Electronics · 2016
In Defense of the Triplet Loss for Person Re-Identification
被引 2,836Alexander Hermans, Lucas Beyer, Bastian Leibe · arXiv (Cornell University) · 2017
此处列出前 3 条
引用本文 33
A comprehensive review on generative artificial intelligence models for fault diagnostics and prognostics of rotating machineries
被引 11Tauheed Mian, Pradeep Kundu · Engineering Applications of Artificial Intelligence · 2025
HSCPA: a hyperspherical contrastive prototype adaptation network for few-shot cross-domain bearing fault diagnosis
被引 3Y. Ge, Yifei Ding, Fusheng Zhang · Structural Health Monitoring · 2026
Domain-Invariant Fault Representation Learning for Rotating Machinery via Causal Excitation and Conditional Alignment
被引 2Jie Zhang, Quan Zhou, Wenjie Zhou · Electronics · 2026
按被引量排序，此处列出前 3 条