Memory-enhanced hybrid deep learning networks for remaining useful life prognostics of mechanical equipment

Yuanhang Wang,Jun Wu,Yiwei Cheng,Ji Wang,Kui Hu

Measurement（2022）

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摘要

•A new MEHDLN model is proposed for RUL prognosis of mechanical equipment.•RUL prognosis is performed in an end-to-end manner without manual feature extraction.•It can extract local robust features and capture time-dependency in signals.•This method can be easily transferred to apply on other industrial equipment.

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关键词

Deep learning,Hybrid deep learning network,Prognostics and health management,Remaining useful life,Mechanical equipment

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