Novel Prognostic Methods for System Degradation Using LSTM

Novel Prognostic Methods for System Degradation Using LSTM

Accurate prognosis of degradation trend is considered very important for the maintenance of critical industrial equipment and assets. This leads to an increase in service availability and life expectancy. Accurate and timely degradation prognosis enables maintenance managers to efficiently plan main...

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Bibliographic Details
Main Authors: Waleed Bin Yousuf, Syed Muhammad Umar Talha, Abdul Ahad Abro, Sadique Ahmad, Syed Muhammad Daniyal, Naveed Ahmad, Abdelhamied Ashraf Ateya
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Long short-term memory (LSTM)
increasing sliding window
prognostic technique
degradation trend estimation
aerial bundled cables (ABCs)
Online Access:https://ieeexplore.ieee.org/document/10802869/
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https://ieeexplore.ieee.org/document/10802869/

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