Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers-Reference-Cited by-同舟云学术

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Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers

Published:2021-11 Issue: Volume:302 Page:117509
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Bai Mingliang,Yang Xusheng,Liu Jinfu^ORCID,Liu Jiao,Yu Daren

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

National Major Science and Technology Projects of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference78 articles.

1. A vanishing moment ensemble model for wind speed multi-step prediction with multi-objective base model selection;Liu;Appl Energy,2020

2. A stochastic simulation scheme for the long-term persistence, heavy-tailed and double periodic behavior of observational and reanalysis wind time-series;Katikas;Appl Energy,2021

3. A combined forecasting model for time series: Application to short-term wind speed forecasting;Liu;Appl Energy,2020

4. A comprehensive analysis of a thermal energy storage concept based on low-rank coal pre-drying for reducing the minimum load of coal-fired power plants;Sun;Appl Therm Eng,2019

5. Anomaly detection of gas turbines based on normal pattern extraction;Bai;Appl Therm Eng,2020

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1. Transfer condition assessment of gas turbines via double multi-task Gaussian process;Advanced Engineering Informatics;2024-10

2. Data-driven modeling approach of heavy-duty gas turbine with physical constraint by MTGNN and Transformer;Control Engineering Practice;2024-10

3. Towards domain shifts: Stream fine-tuning via feed-forward fault data generation for on-board aero-engine gas-path diagnosis;Measurement;2024-09

4. HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines;Knowledge-Based Systems;2024-09

5. Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator;Applied Energy;2024-07

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