Attention and long short-term memory network for remaining useful lifetime predictions of turbofan engine degradation

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Original language	English
Article number	034
Number of pages	12
Journal	International Journal of Prognostics and Health Management
Volume	10
Publication status	Published - 2019

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@article{58bf8524ecb0459689af0f8b92b20e3f,

title = "Attention and long short-term memory network for remaining useful lifetime predictions of turbofan engine degradation",

author = "\{de Oliveira da Costa\}, \{Paulo Roberto\} and Alp Akcay and Yingqian Zhang and Uzay Kaymak",

year = "2019",

language = "English",

volume = "10",

journal = "International Journal of Prognostics and Health Management",

issn = "2153-2648",

publisher = "PHM Society",

}

TY - JOUR

T1 - Attention and long short-term memory network for remaining useful lifetime predictions of turbofan engine degradation

AU - de Oliveira da Costa, Paulo Roberto

AU - Akcay, Alp

AU - Zhang, Yingqian

AU - Kaymak, Uzay

PY - 2019

Y1 - 2019

M3 - Article

SN - 2153-2648

VL - 10

JO - International Journal of Prognostics and Health Management

JF - International Journal of Prognostics and Health Management

M1 - 034

ER -