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A Hybrid Deep Learning Based Approach for Remaining Useful Life Estimation
Conference proceeding

A Hybrid Deep Learning Based Approach for Remaining Useful Life Estimation

Khaled Akkad, David He and IEEE
2019 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM)
01/01/2019

Abstract

Engineering Engineering, Electrical & Electronic Health Care Sciences & Services Life Sciences & Biomedicine Science & Technology Technology
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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