研究论文
Causal Disentanglement Domain Generalization for time-series signal fault diagnosis
Linshan Jia, Tommy W. S. Chow, Yixuan Yuan
City University of Hong Kong Chinese University of Hong Kong
来源Neural Networks
年份2024
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逐年被引趋势
53270
24
25
5326
关键指标
121
被引次数 · OpenAlex
21.34
领域内被引倍数
同类平均 = 1
同类平均 = 1
前 0.1%
引用位次
同领域 · 同年份 · 同类型
同领域 · 同年份 · 同类型
54
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学术脉络
学科主题
工程Machine Fault Diagnosis Techniques
Fault Detection and Control Systems · Anomaly Detection Techniques and Applications
参考文献 54
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
被引 2,626Wade A. Smith, Robert B. Randall · Mechanical Systems and Signal Processing · 2015
Automated vibration-based fault size estimation for ball bearings using Savitzky–Golay differentiators
被引 14Mohamed A.A. Ismail, Andreas Bierig, Nader Sawalhı · Journal of Vibration and Control · 2017
mixup: Beyond Empirical Risk Minimization
被引 4,800Hongyi Zhang, Moustapha Cissé, Yann Dauphin · arXiv (Cornell University) · 2017
此处列出前 3 条
引用本文 121
Domain generalization for rotating machinery fault diagnosis: A survey
被引 196Yiming Xiao, Haidong Shao, Shen Yan · Advanced Engineering Informatics · 2024
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
被引 60Yue Yu, Youqian He, Hamid Reza Karimi · Neural Networks · 2024
Dual disentanglement domain generalization method for rotating Machinery fault diagnosis
被引 52Guowei Zhang, Xianguang Kong, Hongbo Ma · Mechanical Systems and Signal Processing · 2025
按被引量排序，此处列出前 3 条