More realistic degradation trend prediction for gas turbine based on factor analysis and multiple penalty mechanism loss function-Reference-Cited by-同舟云学术

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More realistic degradation trend prediction for gas turbine based on factor analysis and multiple penalty mechanism loss function

Published:2024-07 Issue: Volume:247 Page:110097
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Zhou Zhihao,Zhang Wei,Yao Peng,Long Zhenhua,Bai Mingling,Liu Jinfu,Yu Daren

Funder

National Natural Science Foundation of China

National Major Science and Technology Projects of China

Publisher

Elsevier BV

Reference60 articles.

1. Modeling and optimization of a hybrid renewable energy system integrated with gas turbine and energy storage;Jia;Energy Convers. Manag.,2023

2. Intelligent fuzzy modeling of heavy-duty gas turbine for smart power generation;Gong;Energy,2023

3. Power-to-gas plants and gas turbines for improved wind energy dispatchability: energy and economic assessment;Guandalini;Appl Energy,2015

4. Review of the operational flexibility and emissions of gas- and coal-fired power plants in a future with growing renewables;Gonzalez-Salazar;Renew. Sustain. Energy Rev.,2018

5. Fault detection and isolation of aeroengine combustion chamber based on unscented Kalman filter method fusing artificial neural network;Long;Energy,2023

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1. An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model;Journal of Manufacturing Systems;2024-10

2. Application of a surrogate model for condition monitoring of a digital twin gas turbine;Applied Mathematical Modelling;2024-09

3. An Early Warning Model for Turbine Intermediate-Stage Flux Failure Based on an Improved HEOA Algorithm Optimizing DMSE-GRU Model;Energies;2024-07-24

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