Aviation Key Laboratory of Science and Technology on Fault Diagnosis and Health Management, AVIC Shanghai Aero Measurement-Controlling Research Institute, Shanghai, People's Republic of China;
Aviation Key Laboratory of Science and Technology on Fault Diagnosis and Health Management, AVIC Shanghai Aero Measurement-Controlling Research Institute, Shanghai, People's Republic of China;
Aviation Key Laboratory of Science and Technology on Fault Diagnosis and Health Management, AVIC Shanghai Aero Measurement-Controlling Research Institute, Shanghai, People's Republic of China;
Aviation Key Laboratory of Science and Technology on Fault Diagnosis and Health Management, AVIC Shanghai Aero Measurement-Controlling Research Institute, Shanghai, People's Republic of China;
School of Reliability and Systems Engineering, Beihang University Beijing, People's Republic of China;
Real-time systems; Reliability; Sociology; Statistics; Training; Degradation; Distribution functions;
机译:基于自组织映射和反向传播神经网络方法的滚珠轴承剩余寿命预测
机译:基于卷积神经网络的地铁牵引电动机轴承的剩余寿命预测
机译:基于多灯泡支持向量回归的轴承残余寿命预测
机译:基于状态游览的实时承载剩余寿命预测
机译:实时退化建模和剩余寿命预测,用于组件维护和更换
机译:基于天真贝叶斯和Weibull分布的轴承剩余使用寿命预测
机译:基于DCA的实时残留有用的生命预测临界故障组件