Probability-based service safety life prediction approach of raw and treated turbine blades regarding combined cycle fatigue
Abstract
To avoid the use of specific conversion coefficients with high expense and unacceptable prediction accuracy, a probability-based prediction method is proposed by considering probabilistic feature parameters, to predict the service safety life (SSL) of aeroengine turbine blades. The direct correlation between laboratory remaining life (LRL) and SSL was firstly established by considering probabilistic feature parameters. By conducting Combined...
Paper Details
Title
Probability-based service safety life prediction approach of raw and treated turbine blades regarding combined cycle fatigue
Published Date
Mar 1, 2021
Volume
110
Pages
106513 - 106513
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History