TY - GEN
T1 - On the Foundation of Blade Tip Timing Measurement
T2 - 5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2024
AU - Cao, Jiahui
AU - He, Changbo
AU - Yang, Zhibo
AU - Li, Wenbo
AU - Wu, Shuming
AU - Chen, Xuefeng
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Blade tip timing (BTT) is a promising vibration measurement for rotating blades owing to its non-contact feature, high measurement efficiency, and long service life. However, due to the measurement principle and installation restrictions, BTT signal is severely undersampled and thus hinders subsequent signal processing. Although many BTT analysis methods have sprung up like mushrooms, the performance of parameter identification or spectral analysis heavily depends on the probe layout and there is a lack of an intuitive and fundamental theory for BTT measurement. In this paper, we propose the necessary and sufficient sampling conditions for BTT measurement based on our previous delay sampling theorem, which provides fundamental insights for BTT measurement. By reviewing the existing BTT analysis methods, we demonstrate the correctness of the proposed theory. Finally, the high consistency between the theoretical inferences and simulation results verifies the correctness of the proposed theory.
AB - Blade tip timing (BTT) is a promising vibration measurement for rotating blades owing to its non-contact feature, high measurement efficiency, and long service life. However, due to the measurement principle and installation restrictions, BTT signal is severely undersampled and thus hinders subsequent signal processing. Although many BTT analysis methods have sprung up like mushrooms, the performance of parameter identification or spectral analysis heavily depends on the probe layout and there is a lack of an intuitive and fundamental theory for BTT measurement. In this paper, we propose the necessary and sufficient sampling conditions for BTT measurement based on our previous delay sampling theorem, which provides fundamental insights for BTT measurement. By reviewing the existing BTT analysis methods, we demonstrate the correctness of the proposed theory. Finally, the high consistency between the theoretical inferences and simulation results verifies the correctness of the proposed theory.
KW - Aliasing-free
KW - Blade tip timing
KW - Delay sampling theorem
KW - Frequency identification
KW - Periodic non-uniform sampling
UR - https://www.scopus.com/pages/publications/105001673559
U2 - 10.1109/ICSMD64214.2024.10920515
DO - 10.1109/ICSMD64214.2024.10920515
M3 - 会议稿件
AN - SCOPUS:105001673559
T3 - ICSMD 2024 - 5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence
BT - ICSMD 2024 - 5th International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 31 October 2024 through 3 November 2024
ER -