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国外文献 > 1.轴承 > 7. 智能方法与计算 > 神经网络

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  • 1 A Bearing Fault Diagnosis Method Based on Multimodal Attention Feature Fusion
       基于多模态注意力特征融合的轴承故障诊断方法
  • 2 A Capsule Network with Deep Convolution Generative Adversarial Network Model for Rolling Bearing Fault Diagnosis
       基于深度卷积生成对抗网络的胶囊网络滚动轴承故障诊断模型
  • 3 A Channel Attention based Large Kernel Convolutional Neural Network for Bearing Fault Diagnosis
       基于通道注意力的大核卷积神经网络用于轴承故障诊断
  • 4 A CNN-based Method for Multisensor and Multiscale Fault Diagnosis of Marine Electric Thruster Bearings under Noise Conditions
       基于CNN的多传感器与多尺度噪声条件下船舶电动推进器轴承故障诊断方法
  • 5 A comparative Study for Ball Bearing Fault Classification Using Kernel-SVM with Kullback Leibler Divergence Selected Features
       基于Kullback-Leibler发散选择特征的核-支持向量机在滚动轴承故障分类中的比较研究
  • 6 A comparative study of tribological and mechanical properties of composite polymer coatings on bearing steel
       复合聚合物涂层在轴承钢上的摩擦学与力学性能比较研究
  • 7 A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings
       基于卷积神经网络的滚动轴承劣化指标构建与健康预测：采用双向长短期记忆网络
  • 8 A Convolutional Neural Network with Hybrid Loss Function for Bearing Fault Diagnosis
       基于混合损失函数的卷积神经网络轴承故障诊断
  • 9 A Data-Driven Residual Life Prediction Method For Rolling Bearings
       基于数据的滚动轴承剩余寿命预测方法
  • 10 A Deep Intelligent Hybrid Model for Fault Diagnosis of Rolling Bearing
       滚动轴承故障诊断的深度智能混合模型
  • 11 A Deep Residual Convolutional Neural Network based Bearing Fault Diagnosis with Multi-Sensor Data
       基于多传感器数据的深度残差卷积神经网络轴承故障诊断
  • 12 A Detection and Identification Method Based on Machine Vision for Bearing Surface Defects
       基于机器视觉的轴承表面缺陷检测与识别方法
  • 13 A fault diagnosis method combined with compound multiscale permutation entropy and particle swarm optimization-support vector machine for roller bearings diagnosis
       结合复合多尺度置换熵与粒子群优化支持向量机的滚子轴承故障诊断方法
  • 14 A Fault Diagnosis Method for Rolling Bearing Combining Signal Difference and Coarse Graining
       结合信号差分与粗粒化技术的滚动轴承故障诊断方法
  • 15 A Fault Diagnosis Method for Rotating Bearings Based on EWT Multi-Scale Entropy and PSO Algorithm to Optimize SVM
       基于EWT多尺度熵与PSO算法优化SVM的旋转轴承故障诊断方法
  • 16 A Fault Diagnosis Method of Rolling Bearing Based on Convolutional Neural Network
       基于卷积神经网络的滚动轴承故障诊断方法
  • 17 A Fault Diagnosis Method of Rolling Bearing of CNC Machine Tool Based on Improved Convolutional Neural Network
       基于改进卷积神经网络的数控机床滚动轴承故障诊断方法
  • 18 A FPGA Deployment System Based on Convolutional Neural Network for Rolling Bearing Diagnosis
       基于卷积神经网络的滚动轴承诊断FPGA部署系统
  • 19 A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
       基于有限样本的航空发动机轴承高精度智能故障诊断方法
  • 20 A hybrid approach estimates the real-time health state of a bearing by accelerated degradation tests, Machine learning
       混合方法通过加速劣化测试和机器学习来估计轴承的实时健康状态。
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