A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series

标题
A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series
作者
关键词
Remaining useful life prediction, Bearing health monitoring, Koopman operator, Dynamic mode decomposition, Diagnostics and prognostics
出版物
NEUROCOMPUTING
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2020-04-20
DOI
10.1016/j.neucom.2020.04.005

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