Prediction of blade life cycle for an industrial gas turbine at off-design conditions by applying thermodynamics, turbo-machinery and artificial neural network models

Author:

Sanaye Sepehr,Hosseini Salahadin

Publisher

Elsevier BV

Subject

General Energy

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Supervised learning-based multi-site lean blowout prediction for dry low emission gas turbine;Expert Systems with Applications;2024-06

2. Remaining Useful Life Prediction Method for High Temperature Blades of Gas Turbines Based on 3D Reconstruction and Machine Learning Techniques;Applied Sciences;2023-10-08

3. A weak fault identification method of micro-turbine blade based on sound pressure signal with LSTM networks;Aerospace Science and Technology;2023-05

4. Hybrid Cloudification of Legacy Software for Efficient Simulation of Gas Turbine Designs;2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP);2023-05

5. Optimization of hydrofoils for ocean current energy application: A brief review;1ST INTERNATIONAL POSTGRADUATE CONFERENCE ON OCEAN ENGINEERING TECHNOLOGY AND INFORMATICS 2021 (IPCOETI 2021);2023

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