Aero-engine Exhaust Gas Temperature Prediction Based on the Deep Convolution Neural Network and LightGBM Combination Model-Reference-Cited by-同舟云学术

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Aero-engine Exhaust Gas Temperature Prediction Based on the Deep Convolution Neural Network and LightGBM Combination Model

Published:2022-07-25 Issue: Volume: Page:
ISSN:
Container-title:2022 41st Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Liu Lijun¹,Dai Huangshan¹,Wang Lan¹,Zhu Xinxin¹,Yu Zhen¹

Affiliation:

1. School of Aerospace Engineering, Xiamen University,Xiamen,China

Funder

Natural Science Foundation of Fujian

Natural Science Foundation of Shanghai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902005.pdf?arnumber=9902005

Reference11 articles.

1. Prognosis of faults in gas turbine engines

2. 10-year Global MRO Forecast;tegtmeier;Aviation Maintenance & Engineering,2012

3. Prediction of Aero-Engine Fuel Flow Based on Chaotic Radial Basis Function Neural Network Model;gao;International Journal of Applied Mathematics and Statistics TM,2014

4. Aircraft engine lubricating oil monitoring by process neural network;gang;Neural Network World,2006

5. LightGBM: A Highly Efficient Gradient Boosting Decision Tree;ke;Advances in neural information processing systems,2017

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