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An adaptive fault diagnosis method for rotating machinery based on GCN deep feature extraction and OptGBM
Linjun Wang, Zhenxiong Wu, Haihua Wu, Tengxiao Zou, Xifa Yang, Youxiang Xie
China Three Gorges University
来源Journal of the Brazilian Society of Mechanical Sciences and Engineering
年份2025
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学术脉络
学科主题
工程Machine Fault Diagnosis Techniques
Fault Detection and Control Systems · Advanced Graph Neural Networks
参考文献 30
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
被引 2,743Wade A. Smith, Robert Bond Randall · Mechanical Systems and Signal Processing · 2015
Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning
被引 460Pei Cao, Shengli Zhang, Jiong Tang · IEEE Access · 2018
Multi-fault diagnosis of rolling bearing using fuzzy entropy of empirical mode decomposition, principal component analysis, and SOM neural network
被引 63Mohamed Zair, Chemseddine Rahmoune, Djamel Benazzouz · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2018
此处列出前 3 条
引用本文 11
A digital twin guided physical-virtual denoising method for early fault detection of rolling element bearings
被引 34Zijian Qiao, Siyuan Ning, Yanan Gai · Mechanical Systems and Signal Processing · 2026
A fault diagnosis method for cycloidal hydraulic motors based on improved BP neural network and fusion feature vectors
被引 6Bing Zhang, Pengzhi Han, Hongyu Liu · Journal of the Brazilian Society of Mechanical Sciences and Engineering · 2025
A novel approach for rotating machinery fault diagnosis using multiscale feature extraction and noise suppression
被引 3Linjun Wang, Xifa Yang, Zhenxiong Wu · Engineering Research Express · 2025
按被引量排序，此处列出前 3 条