Residual Life Prediction of Gas-Engine Turbine Blades Based on Damage Surrogate-Assisted Modeling

Applied Sciences

卷:10

Boris Vasilyev¹  Mikhail Raevskiy²  Sergei Nikolaev²  Ighor Uzhinsky²  Sergei Belov² 

[1]Central Institute of Aviation Motors, 111116 Moscow, Russia

[2]|Skolkovo Institute of Science and Technology, 121205 Moscow, Russia

关键词: life;    remaining useful life;    condition-based maintenance;    real-time prognostics;    surrogate model;   

DOI  :  10.3390/app10238541

来源: DOAJ

【 摘 要 】

Blade damage accounts for a substantial part of all failure events occurring at gas-turbine-engine power plants. Current operation and maintenance (O&M) practices typically use preventive maintenance approaches with fixed intervals, which involve high costs for repair and replacement activities, and substantial revenue losses. The recent development and evolution of condition-monitoring techniques and the fact that an increasing number of turbines in operation are equipped with online monitoring systems offer the decision maker a large amount of information on the blades’ structural health. So, predictive maintenance becomes feasible. It has the potential to predict the blades’ remaining life in order to support O&M decisions for avoiding major failure events. This paper presents a surrogate model and methodology for estimating the remaining life of a turbine blade. The model can be used within a predictive maintenance decision framework to optimize maintenance planning for the blades’ lifetime.

【 授权许可】

Unknown