A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics

Prediction of remaining useful life (RUL) is an indispensable part of prognostics health management (PHM) in complex systems. Considering the parallel integration of the spatial and temporal features implicated in measurement data, this article proposes a novel parallel hybrid neural network that co...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2023, Vol.72, p.1-12
Hauptverfasser:	Zhang, Jiusi, Tian, Jilun, Li, Minglei, Leon, Jose Ignaclo, Franquelo, Leopoldo Garcia, Luo, Hao, Yin, Shen
Format:	Artikel
Sprache:	eng
Schlagworte:	1-D convolutional neural network (1-DCNN) Aircraft Aircraft propulsion Artificial neural networks bidirectional gated recurrent unit (BiGRU) Complex systems Convolutional neural networks Data mining Datasets Engines Feature extraction Life prediction Neural networks parallel hybrid neural network prediction prognostics health management (PHM) remaining useful life (RUL) Turbofan engines
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