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Improved K-Means Clustering Method Based on Complex Network for Rolling Bearing Fault Diagnosis

机译：改进的基于复杂网络的K-means聚类方法在滚动轴承故障诊断中的应用

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Yang Pan; An-hua Chen; Ling-li Jiang;
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1. A new K-means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault [J] . Hongchao Wang, Wenliao Du International Journal of Distributed Sensor Networks . 2020,第5期

机译：一种基于自适应匹配追求的新的K型奇异值分解方法及其在滚动轴承弱故障的故障诊断中的应用
2. An Improved Kernel K-Mean Cluster Method and Its Application in Fault Diagnosis of Roller Bearing [J] . Ling-Li Jiang, Yu-Xiang Cao, Hua-Kui Yin, Engineering . 2013,第1期

机译：改进的核K均值聚类方法及其在滚动轴承故障诊断中的应用
3. An Improved Kernel K-Mean Cluster Method and Its Application in Fault Diagnosis of Roller Bearing [J] . Ling-Li Jiang, Yu-Xiang Cao, Hua-Kui Yin, Engineering . 2013,第1期

机译：改进的核K均值聚类方法及其在滚动轴承故障诊断中的应用
4. Improved K-Means Clustering Method Based on Complex Network for Rolling Bearing Fault Diagnosis [C] . Yang Pan, An-hua Chen, Ling-li Jiang International Conference on Innovation Manufacturing and Engineering Management . 2013

机译：基于复合网络的滚动轴承故障诊断改进的K-Means聚类方法
5. Fault detection, diagnosis and prognosis of rolling element bearings: Frequency domain methods and hidden Markov modeling. [D] . Ocak, Hasan. 2004

机译：滚动轴承的故障检测，诊断和预测：频域方法和隐马尔可夫建模。
6. A fault diagnosis method based on Auxiliary Classifier Generative AdversarialNetwork for rolling bearing [O] . Chunming Wu, Zhou Zeng 2021

机译：基于辅助分类器生成对抗的故障诊断方法滚动轴承网络
7. A new K-means singular value decomposition method based on self-adaptive matching pursuit and its application in fault diagnosis of rolling bearing weak fault [O] . Hongchao Wang, Wenliao Du 2020

机译：一种基于自适应匹配追求的新的K型奇异值分解方法及其在滚动轴承弱故障的故障诊断中的应用

Improved K-Means Clustering Method Based on Complex Network for Rolling Bearing Fault Diagnosis

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