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An Early Fault Diagnosis Method of Rolling Bearings on the Basis of Adaptive Frequency Window and Sparse Coding Shrinkage

机译：基于自适应频率窗口和稀疏编码收缩的滚动轴承早期故障诊断方法

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Shuting Wan; Bo Peng;
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2. A sparse auto-encoder method based on compressed sensing and wavelet packet energy entropy for rolling bearing intelligent fault diagnosis [J] . Journal of Mechanical Science and Technology . 2020,第4期

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3. Fine-Grained Fault Diagnosis Method of Rolling Bearing Combining Multisynchrosqueezing Transform and Sparse Feature Coding Based on Dictionary Learning [J] . Sun Guodong, Gao Yuan, Lin Kai, Shock and vibration . 2019,第PTa11期

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4. Extraction of Weak Transient Fault based on Adaptive Window Merging for Rolling Bearing Fault Diagnosis [C] . Wei Guo, Lingjian Huang, Ming J. Zuo World Congress on Condition Monitoring . 2017

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5. Fault detection, diagnosis and prognosis of rolling element bearings: Frequency domain methods and hidden Markov modeling. [D] . Ocak, Hasan. 2004

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6. Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features [O] . Liwei Zhan, Fang Ma, Jingjing Zhang, 2019

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7. Fault Diagnosis of Rolling Bearing Based on Multiscale Intrinsic Mode Function Permutation Entropy and a Stacked Sparse Denoising Autoencoder [O] . 2019

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An Early Fault Diagnosis Method of Rolling Bearings on the Basis of Adaptive Frequency Window and Sparse Coding Shrinkage

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