Parallel processing of sensor signals using deep learning method for aero-engine remaining useful life prediction
Tianyu Wang,
Baokui Li,
Qing Fei
et al.
Abstract:Accurately predicting the remaining useful life of aerospace engines is crucial for enhancing the reliability of aviation equipment. While some methods have taken note of the challenges posed by vast sensor data and complex signal interrelationships, there is still room for improvement in performance. This paper proposes a novel deep learning model that utilizes a parallel structure to independently process inputs from various sensor signals. Each branch in this parallel structure employs a combination of an i… Show more
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