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国外文献 > 1.轴承 > 5. 监测与诊断 > 寿命与维护

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  • 1 A Bayesian Damage Prognosis Approach Applied to Bearing Failure
       贝叶斯损伤预测方法在轴承失效中的应用
  • 2 A Comparative Study Between Bayesian Filters and Autoencoder Networks for Bearing RUL Prediction
       贝叶斯滤波器与自编码器网络在轴承剩余使用寿命预测中的比较研究
  • 3 A comparison study for bearing remaining useful life prediction by using standard stochastic approach and digital twin
       基于标准随机方法与数字孪生技术的轴承剩余使用寿命预测比较研究
  • 4 A CUSUM-based adaptive bearing fault features tracking method for RUL estimation
       基于CUSUM的自适应轴承故障特征跟踪方法用于剩余使用寿命估计
  • 5 A Data-Driven Approach Based Health Indicator for Remaining Useful Life Estimation of Bearings
       基于数据驱动方法的轴承剩余使用寿命健康指标
  • 6 A feature fusion-based prognostics approach for rolling element bearings
       基于特征融合的滚动轴承预测方法
  • 7 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。
  • 8 A hybrid deep learning-based approach for rolling bearing fault prognostics
       基于混合深度学习的滚动轴承故障预测方法
  • 9 A Hybrid Model to Predict Remaining Useful Life for a Ball Bearing
       用于预测滚动轴承剩余使用寿命的混合模型
  • 10 A Hybrid Prognostic Model based on Bayesian Deep Learning Network and Uncertainty Quantification for Roller Bearings
       基于贝叶斯深度学习网络与不确定性量化技术的滚动轴承混合预测模型
  • 11 A meta network pruning framework for remaining useful life prediction of rocket engine bearings with temporal distribution discrepancy
       用于预测火箭发动机轴承剩余使用寿命的元网络剪枝框架，考虑时间分布偏差
  • 12 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
  • 13 A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings
       一种基于时间窗口拼接的新型卷积双通道Transformer网络，用于滚动轴承剩余使用寿命预测
  • 14 A new method for the estimation of bearing health state and remaining useful life based on the moving average cross-correlation of power spectral density
       基于功率谱密度移动平均互相关的新方法用于轴承健康状态和剩余使用寿命的估计
  • 15 A new Wasserstein distance- and cumulative sum-dependent health indicator and its application in prediction of remaining useful life of bearing
       一种基于瓦谢尔斯坦距离和累积和的新型健康指标及其在轴承剩余使用寿命预测中的应用
  • 16 A novel approach for bearing remaining useful life estimation under neither failure nor suspension histories condition
       一种在既无失效也无停机历史条件下估算轴承剩余使用寿命的新方法
  • 17 A piecewise method for bearing remaining useful life estimation using temporal convolutional networks
       基于时间卷积网络的分段法用于轴承剩余使用寿命估计
  • 18 A Predictive Maintenance Solution for Bearing Production Line Based on Edge-Cloud Cooperation
       基于边缘云协同的轴承生产线预测性维护解决方案
  • 19 A Probabilistic Bayesian Transformer for Bearings Remaining Useful Life Prediction
       用于轴承剩余使用寿命预测的概率贝叶斯变换器
  • 20 A Remaining Useful Life Prediction Technique for Rolling Element Bearings Based on Deep Temporal Feature Transfer
       基于深度时序特征迁移的滚动轴承剩余使用寿命预测技术
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