用户名 密 码 登 录 忘记密码 免费注册

网站会员中心 | 设为首页 | 加入收藏

 您好，欢迎光临中国轴承行业网         退出登陆

会员中心 | 设为首页 | 加入收藏

协会

统计

国外文献 > 1.轴承 > 6. 信号处理与特征分析 > 特征与分类

关键词搜索：

  • 1 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
  • 2 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
  • 3 A Combination of WKNN to Fault Diagnosis of Rolling Element Bearings
       WKNN与滚动轴承故障诊断的结合
  • 4 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
  • 5 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
  • 6 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
  • 7 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
  • 8 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
  • 9 A Hyper-ellipsoidal Support Vector Data Description Incremental Learning Method for Bearing Fault Diagnosis
       基于超椭球支撑向量数据描述的轴承故障诊断增量学习方法
  • 10 A machine learning-based approach for detection of whirl instability and overheating faults in journal bearings using multi-sensor fusion method
       基于机器学习的方法，利用多传感器融合技术检测滚柱轴承的涡流不稳定和过热故障
  • 11 A Method for Predicting the Remaining Useful Life of Bearings Based on Genetic Programming
       基于遗传编程的轴承剩余使用寿命预测方法
  • 12 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
  • 13 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
  • 14 A new approach to detection of defects in rolling element bearings based on statistical pattern recognition
       基于统计模式识别的滚动轴承缺陷检测新方法
  • 15 A New Bearing Fault Diagnosis Method using Envelope based Feature Extraction
       基于包络特征提取的新型轴承故障诊断方法
  • 16 A New Enhanced Feature Extraction Strategy for Bearing Remaining Useful Life Estimation
       轴承剩余使用寿命估计的新增强特征提取策略
  • 17 A New Method Based on Adaptive Treelets Transform for Fault Diagnosis of Rolling Bearing
       基于自适应树列变换的滚动轴承故障诊断新方法
  • 18 A Novel Bearing Fault Diagnosis of Raw Signals Based on 1D Residual Convolution Neural Network
       基于一维残差卷积神经网络的原始信号新型轴承故障诊断
  • 19 A Novel Feature Extraction Method using Deep Neural Network for Rolling Bearing Fault Diagnosis
       基于深度神经网络的滚动轴承故障诊断新特征提取方法
  • 20 A novel intelligent approach based on WOAGWO-VMD and MPA-LSSVM for diagnosis of bearing faults
       基于WOAGWO-VMD和MPA-LSSVM的轴承故障诊断新智能方法
    • 共 301 条记录 第 1 页 ¦ 共 16 页 首页 上一页 下一页 尾页  到第  页 跳转

    VIP网员

    联系我们 | 登录注册 | 会员管理 | 网员服务 | 服务信息 | 广告服务 | 高薪聘请 | 法律声明 | 关于我们

    京公网安备 11010202009788    京ICP备2021015424号