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国外文献 > 1.轴承 > 6. 信号处理与特征分析 > 信号处理

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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 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
  • 3 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
  • 4 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
  • 5 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
  • 6 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
  • 7 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
  • 8 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
  • 9 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
  • 10 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
  • 11 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
  • 12 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
  • 13 A fault diagnosis method for rolling element bearings based on ICEEMDAN and Bayesian network
       基于ICEEMDAN和贝叶斯网络的滚动轴承故障诊断方法
  • 14 A Frequency-Based Approach to Detect Bearing Faults in Induction Motors Using Discrete Wavelet Transform
       基于频率的感应电机轴承故障检测方法：离散小波变换的应用
  • 15 A hybrid approach to bearing defect diagnosis in rotary machines
       旋转机械轴承缺陷诊断的混合方法
  • 16 A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture
       联合稀疏小波系数提取与自适应降噪方法在多分量信号混合中恢复弱轴承故障特征
  • 17 A Machine Learning Framework Based on ACO-EMD-CKAN for Bearing Fault Detection
       基于ACO-EMD-CKAN的机器学习框架用于轴承故障检测
  • 18 A Method of Feature Extraction from Time-Frequency Images of Vibration Signals in Faulty Bearings for Classification Purposes
       用于故障轴承振动信号时频图像特征提取的方法及其分类应用
  • 19 A multi fault classification in a rotor-bearing system using machine learning approach
       基于机器学习方法的转子轴承系统多故障分类
  • 20 A multi-stage diagnosis method using CEEMD, ABC, and ANN for identifying compound gear-bearing faults
       基于CEEMD、ABC和ANN的多阶段诊断方法用于识别复合齿轮轴承故障
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