Study on Advance Prediction Model of Exhaust Gas Temperature Based on LSTM

Author:

Gao Chunyu1,Xie Limei1,Liu Shicheng1,Zhang Chuqi1

Affiliation:

1. China Electronic Product Reliability and Environmental Testing Research Institute,Center of Reliability and Environmental Engineering,Guangzhou,China

Publisher

IEEE

Reference13 articles.

1. Prediction of remaining useful life of multi-stage aero-engine based on clustering and LSTM fusion

2. Deep Learning for Improved System Remaining Life Prediction

3. Analysis of different RNN autoencoder variants for time series classification and machine prognostics[J];wy;Mechanical Systems and Signal Processing,0

4. A data-driven degradation prognostic strategy for aero-engine under various operational conditions[J];cwa;Neurocomputing,2021

5. Improve reliability, predict temperature and power output of the gas turbine by using time series[C];vafaeenezhad;2015 30th International Power System Conference (PSC),2017

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