基于混合深度学习的剩余使用寿命估计方法

2019 IEEE International Conference on Prognostics and Health Management (ICPHM) Pub Date : 2019-06-17 DOI:10.1109/ICPHM.2019.8819435

Khaled Akkad, D. He

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引用次数: 3

摘要

PHM最重要的方面之一是剩余使用寿命(RUL)估计。本文提出了一种基于混合深度学习的RUL估计方法。该方法将长短期记忆与卷积神经网络相结合。利用涡扇发动机仿真数据集验证了混合方法的有效性。

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A Hybrid Deep Learning Based Approach for Remaining Useful Life Estimation

One of the most important aspects of PHM is remaining useful life (RUL) estimation. This paper proposes a hybrid deep learning-based approach for RUL estimation. The hybrid method is developed using a combination of long short-term memory and convolutional neural networks. The effectiveness of the hybrid method is validated using three engine fleets from turbofan engines simulation datasets.

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来源期刊

2019 IEEE International Conference on Prognostics and Health Management (ICPHM)

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