Details

Autor(en) / Beteiligte

• Luan, Junqi
• Cao, Yun Peng
• Li, Shuying
• Ao, Ran
• Feng, Guojin
• Wang, Hongjun
• Zhang, Hao
• Gu, Fengshou
• Sinha, Jyoti K
• Sinha, Jyoti K.

Titel

A Gas Turbine Gas Path Digital Twin Modeling Method

Ist Teil von

• Proceedings of IncoME-VI and TEPEN 2021, 2022, Vol.117, p.251-264

Ort / Verlag

Switzerland: Springer International Publishing AG

Erscheinungsjahr

2022

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Degradation of gas path performance is the focus of gas turbine condition monitoring. In order to realize gas turbine maintenance cycle performance monitoring, diagnosis and prediction, combining mechanism knowledge and data information, a gas turbine gas path performance digital twin modeling method is proposed, and a health monitoring framework of the gas turbine gas path performance digital twin is constructed. Taking the split-shaft gas turbine as the research object, the gas turbine performance calculation model is established without relying on component characteristic information, the parameter matching method based on differential evolution is studied, and the gas turbine performance digital twin model is developed. The simulation test was carried out the results show that the gas turbine gas path digital twin model realizes the quantitative characterization of the performance degradation of gas path components during the maintenance period, and provides a basis for the gas turbine gas path performance fault diagnosis.