Bearing Compound Fault Diagnosis Based on Double-Domain Reweighted Adaptive Sparse Representation by Jing Meng, Jiawen Xu, Chang Liu, Chao Chen, Lili Liu

Subjects: “…Compound fault diagnosis…”
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Dynamic Characteristics of Gear System Under Compound Fault of Tooth Root Crack and Bearing Outer Ring by Yu Bai, Hong Jiang, Xiangfeng Zhang, Zhen Lei, Wenhan Huang, Zhijie Zhu, Chaochao Cui

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Compound Fault Feature Extraction of Wind Power Gearbox Based on DRS and Improved Autogram by Haifei MA, Wei TENG, Dikang PENG, Yibing LIU, Tao JIN

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Research of Bearing Compound Fault Diagnosis based on EEMD and Hilbert Envelope Analysis by Yan Tianxiao, Zhang Ruiliang, Wang Tie, Jiang Xiongfei

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Adaptive blind deconvolution decomposition and its application in composite fault diagnosis of rolling bearings by Wei Dong, Bin Feng, Yulun Liu, Shuqing Zhang

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A multiple improved envelope spectra via feature optimization gram (MIESFO-gram) for diagnosis of compound fault signatures by Yazdanianasr Mahsa, Mauricio Alexandre, Gryllias Konstantinos

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Compound Fault Diagnosis of Wind Turbine Gearbox via Modified Signal Quality Coefficient and Versatile Residual Shrinkage Network by Weixiong Jiang, Guanhui Zhao, Zhan Gao, Yuanhang Wang, Jun Wu

Subjects: “…compound fault diagnosis…”
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Composite Fault Prediction of Bearing Based on Cascaded Long Short Term Memory Neural Network by JIANG Xuyao, LIN Qunxu, HOU Zhicheng, ZHANG Gong, ZHANG Jinyue, YANG Gen

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An Approach of Intelligent Compound Fault Diagnosis of Rolling Bearing based on MWT and CNN by Han Tao, Yuan Jianhu, Tang Jian, An Lizhou

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Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network by Runfang Hao, Yunpeng Bai, Kun Yang, Yongqiang Cheng, Shengjun Chang

Subjects: “…Compound fault…”
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