Creep-Based Reliability Evaluation of Turbine Blade-Tip Clearance with Novel Neural Network Regression

To reveal the effect of high-temperature creep on the blade-tip radial running clearance of aeroengine high-pressure turbines, a distributed collaborative generalized regression extremum neural network is proposed by absorbing the heuristic thoughts of distributed collaborative response surface meth...

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Detalles Bibliográficos
Autores principales: Zhang, Chun-Yi, Wei, Jing-Shan, Wang, Ze, Yuan, Zhe-Shan, Fei, Cheng-Wei, Lu, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6861887/
https://www.ncbi.nlm.nih.gov/pubmed/31671898
http://dx.doi.org/10.3390/ma12213552

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6861887/
https://www.ncbi.nlm.nih.gov/pubmed/31671898
http://dx.doi.org/10.3390/ma12213552

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