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Research on Fault Diagnosis Method of Bearing Based on Image Transformation of Time Series

机译：基于时间序列图像变换的轴承故障诊断方法研究

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Chuanchao Xu; Yue Liu; Jinglun Fu;
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年度 2019
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1. Adaptive Extraction Method Based on Time-Frequency Images for Fault Diagnosis in Rolling Bearings of Motor [J] . Yunchao Ma, Chengdong Wang, Dongchen Yang, Mathematical Problems in Engineering: Theory, Methods and Applications . 2021,第a期

机译：基于时频图像的自适应提取方法在电动机滚动轴承中的故障诊断
2. Dynamic linear models-based time series decomposition and its application on bearing fault diagnosis [J] . Tang Haifeng, Chen Jin, Dong Guangming Journal of vibration and control: JVC . 2015,第5期

机译：基于动态线性模型的时间序列分解及其在轴承故障诊断中的应用
3. Rolling Bearing Fault Diagnosis Based on CEEMD and Time Series Modeling [J] . LiyeZhao, WeiYu, RuqiangYan Mathematical Problems in Engineering: Theory, Methods and Applications . 2014,第1期

机译：基于CEEMD和时间序列建模的滚动轴承故障诊断
4. The diagnosis method for induction motor bearing fault based on Volterra series [C] . Changqing Xu, Chidong Qiu, Meng Xia, International Conference on Intelligent Control and Information Processing . 2014

机译：基于Volterra级数的感应电动机轴承故障诊断方法。
5. A comparative fault diagnosis methodology based on time series analysis of system's signals. [D] . Bassily, Hany Fouad. 2007

机译：一种基于系统信号时间序列分析的比较故障诊断方法。
6. Bearing Fault Feature Extraction and Fault Diagnosis Method Based on Feature Fusion [O] . Huibin Zhu, Zhangming He, Juhui Wei, 2021

机译：基于特征融合的轴承故障特征提取与故障诊断方法
7. Time-frequency analysis method of bearing fault diagnosis based on the generalized S transformation [O] . Jianhua Cai, Yongliang Xiao 2017

机译：基于广义转换的轴承故障诊断时频分析方法

Research on Fault Diagnosis Method of Bearing Based on Image Transformation of Time Series

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