Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach

Predicting remaining useful life (RUL) is crucial for system maintenance. Condition monitoring makes not only degradation data available for RUL estimation but also categorized health status data for health state identification. However, RUL prediction has been treated as an independent process in m...

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Veröffentlicht in:	Journal of intelligent manufacturing 2021-12, Vol.32 (8), p.2169-2179
Hauptverfasser:	Kim, Tae San, Sohn, So Young
Format:	Artikel
Sprache:	eng
Schlagworte:	Advanced manufacturing technologies Artificial neural networks Business and Management Condition monitoring Control Learning Life prediction Machines Manufacturing Mechatronics Neural networks Processes Production Robotics Useful life
Online-Zugang:	Volltext
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