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机译:通过基于状态空间的退化模型融合在线监测数据来减少预测不确定性
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD, USA;
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China;
Dongling School of Economics and Management, University of Science and Technology Beijing, Beijing, China;
Center for Advanced Life Cycle Engineering (CALCE), University of Maryland, College Park, MD, USA PHM Centre, City University of Hong Kong, Hong Kong Special Administrative Region;
Failure prognostics; Uncertainty management; State-space model; Bayesian prediction; Time-to-failure distribution; Particle Markov Chain Monte Carlo;
机译:基于状态空间的锂离子电池退化预测模型
机译:基于状态空间的隐藏与年龄相关的非线性退化过程的预测模型
机译:使用模拟数据研究基于模型和数据驱动的预测方法的不确定性处理能力
机译:基于RVM和ARMA / GARCH模型的轴承故障模拟数据的机器退化预测
机译:使用基于过程的多相模型和地质固碳监测数据,可对参数和二氧化碳羽流进行最佳估计和不确定性量化。
机译:基于DC - 偏置下变压器在线监测数据的有效性评估方法
机译:基于加权数据融合模型的分布式监控系统