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An Integrated Approach Based on Swarm Decomposition, Morphology Envelope Dispersion Entropy, and Random Forest for Multi-Fault Recognition of Rolling Bearing

机译：一种基于Swarm分解，形态包络分散熵和随机林进行滚动轴承多故障识别的综合方法

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Shuting Wan; Bo Peng;
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1. Multi-fault diagnosis of rolling bearing using fuzzy entropy of empirical mode decomposition, principal component analysis, and SOM neural network [J] . Zair Mohamed, Rahmoune Chemseddine, Benazzouz Djamel Proceedings of the Institution of Mechanical Engineers, Part C. Journal of mechanical engineering science . 2019,第9期

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2. Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis [J] . Jing Lin, Ming Zhao, Xiaoqiang Xu, Sensors . 2014,第11期

机译：基于IMF的自适应包络阶分析在恶劣工况下滚动轴承的多故障检测
3. Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines [J] . Xiaoyuan Zhang, Jianzhong Zhou Mechanical systems and signal processing . 2013,第1a2期

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4. A Novel Intelligent Fault Detection Scheme for Rolling Bearing Based on Morphological Multiscale Dispersion Entropy [C] . Xiaoan Yan, Minping Jia International Conference on Computational Intelligence and Applications . 2018

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5. Conservation in a Sacred Forest: An Integrated Approach to Assessing the Management of a Community-Based Conservation Site. [D] . Reisland, Melissa Ann. 2013

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6. Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis [O] . Ming Zhao, Jing Lin, Xiaoqiang Xu, 2014

机译：基于IMF的自适应包络阶分析在恶劣工况下滚动轴承的多故障检测
7. Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis [O] . Ming Zhao, Jing Lin, Xiaoqiang Xu, 2014

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An Integrated Approach Based on Swarm Decomposition, Morphology Envelope Dispersion Entropy, and Random Forest for Multi-Fault Recognition of Rolling Bearing

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