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国外文献 > 1.轴承 > 6. 信号处理与特征分析

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  • 1 A bearing faults diagnosis enhancement using EMD and MEDA
       基于EMD和MEDA的轴承故障诊断增强
  • 2 A Bearing Feature Extraction Method Based on Variational Mode Decomposition Feature Energy Entropy
       基于变分模态分解特征能量熵的轴承特征提取方法
  • 3 A classification method via sparse representation for rolling bearing fault recognition
       基于稀疏表示的滚动轴承故障识别分类方法
  • 4 A Combination of WKNN to Fault Diagnosis of Rolling Element Bearings
       WKNN与滚动轴承故障诊断的结合
  • 5 A Comparative Analysis of Detecting Bearing Fault, Using Infrared Thermography, Vibration Analysis and Air-Borne Sound
       基于红外热成像、振动分析和空中声学的轴承故障检测比较分析
  • 6 A Comparative Study Between EMD-MCKD and EMD-MEDA Techniques for the Bearing Faults Diagnosis in Induction Motors
       感应电机轴承故障诊断中EMD-MCKD与EMD-MEDA技术的比较研究
  • 7 A comparative Study for Ball Bearing Fault Classification Using Kernel-SVM with Kullback Leibler Divergence Selected Features
       基于核-支持向量机与Kullback-Leibler发散度选择特征的滚动轴承故障分类比较研究
  • 8 A Comparative Study of Various Methods of Bearing Faults Diagnosis Using the Case Western Reserve University Data
       基于西储大学数据的轴承故障诊断方法比较研究
  • 9 A Comparative Study on the Vibration Signal-Based Damage Detection for Rotor-Bearing System in Speed-Up Process: The Feature Extraction Approach
       基于振动信号的转子轴承系统在增速过程中的损伤检测比较研究：特征提取方法
  • 10 A Comparison Study Between Acoustic Sensors for Bearing Fault Detection Under Different Speed and Load Using a Variety of Signal Processing Techniques
       基于多种信号处理技术的轴承故障检测声学传感器在不同转速和负载下的比较研究
  • 11 A Comparison Study Between Acoustic Sensors for Bearing Fault Detection Under Different Speed and Load Using a Variety of Signal Processing Techniques
       基于多种信号处理技术的轴承故障检测声学传感器在不同转速和负载下的比较研究
  • 12 A comparison study of improved Hilbert-Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing
       改进的希尔伯特-黄变换与小波变换的比较研究：应用于滚动轴承故障诊断
  • 13 A Cross Domain Feature Extraction Method based on Transfer Component Analysis for Rolling Bearing Fault Diagnosis
       基于转移成分分析的跨域特征提取方法在滚动轴承故障诊断中的应用
  • 14 A Cross Domain Feature Extraction Method for Bearing Fault diagnosis based on Balanced Distribution Adaptation
       基于均衡分布自适应的轴承故障诊断跨域特征提取方法
  • 15 A Data-Driven Fault Diagnosis Method Using Modified Health Index and Deep Neural Networks of a Rolling Bearing
       基于改进健康指数与深度神经网络的滚动轴承数据驱动故障诊断方法
  • 16 A Data-Driven Fault Diagnosis Method Using Modified Health Index and Deep Neural Networks of a Rolling Bearing
       基于改进健康指数与深度神经网络的滚动轴承数据驱动故障诊断方法
  • 17 A data-driven method to enhance vibration signal decomposition for rolling bearing fault analysis
       一种基于数据的增强滚动轴承故障分析振动信号分解方法
  • 18 A fast and adaptive varying-scale morphological analysis method for rolling element bearing fault diagnosis
       用于滚动轴承故障诊断的快速自适应多尺度形态分析方法
  • 19 A Fault Diagnosis Method for High-speed Train Wheelset Bearings Based on Deep Learning
       基于深度学习的高速列车轮对轴承故障诊断方法
  • 20 A fault diagnosis method for rolling element bearing (REB) based on reducing REB foundation vibration and noise-assisted vibration signal analysis
       基于降低滚动轴承（REB）基座振动和噪声辅助振动信号分析的滚动轴承故障诊断方法
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