TY - GEN
T1 - A validated digital simulator for the assessment of BTT algorithms
AU - Guo, Yuxing
AU - Qiao, Baijie
AU - Wang, Yanan
AU - Pan, Bo
AU - Zhu, Yuda
AU - Chen, Xuefeng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Turbomachinery is widely used in industrial production. As one of the most critical components, the monitoring of the blade is an important means to ensure the safe operation of the rotating machinery, and the monitoring of shrouded blades has some difficulties because of its structure. In order to realize blade tip timing (BTT) measurement of shrouded blades and assess the algorithms, a numerical simulator for measuring axial clearance voltage of BTT probes is developed in this paper. Firstly, the influences of three kinds of steady-state movements of the blades on the BTT axial measurement are analyzed. Secondly, a mathematical model of blade vibration is established based on the typical dynamical vibration of the synchronous and asynchronous vibration. Thirdly, the blade mode shapes are obtained based on the finite element model to realize the construction of the BTT simulator. Finally, the simulator is constructed based on real steam turbine blades, which is validated using the traditional vibration parameter identification method to identify the parameters. This study provides a new BTT axial measurement and data generation method.
AB - Turbomachinery is widely used in industrial production. As one of the most critical components, the monitoring of the blade is an important means to ensure the safe operation of the rotating machinery, and the monitoring of shrouded blades has some difficulties because of its structure. In order to realize blade tip timing (BTT) measurement of shrouded blades and assess the algorithms, a numerical simulator for measuring axial clearance voltage of BTT probes is developed in this paper. Firstly, the influences of three kinds of steady-state movements of the blades on the BTT axial measurement are analyzed. Secondly, a mathematical model of blade vibration is established based on the typical dynamical vibration of the synchronous and asynchronous vibration. Thirdly, the blade mode shapes are obtained based on the finite element model to realize the construction of the BTT simulator. Finally, the simulator is constructed based on real steam turbine blades, which is validated using the traditional vibration parameter identification method to identify the parameters. This study provides a new BTT axial measurement and data generation method.
KW - axial measurement
KW - blade tip timing
KW - shrouded blades
KW - simulator
UR - https://www.scopus.com/pages/publications/85150421948
U2 - 10.1109/ICSMD57530.2022.10058323
DO - 10.1109/ICSMD57530.2022.10058323
M3 - 会议稿件
AN - SCOPUS:85150421948
T3 - 2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings
BT - 2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022
Y2 - 22 December 2022 through 24 December 2022
ER -