TY - GEN
T1 - Simultaneous Measurement for Blade Tip Clearance and Vibration Based on Capacitive Probe
AU - Cao, Jiahui
AU - Tian, Shaohua
AU - Yang, Zhibo
AU - Wu, Shuming
AU - Liu, Yijing
AU - Chen, Xuefeng
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Rotating blade is a critical but fragile component in the aero-engine. Due to harsh working conditions like high rotation speed, and heavy load, rotating blades are prone to failures, which endanger the operation safety of turbomachinery; thus, it is important to detect incipient failure in time by monitoring the blade tip vibration. In addition to blade vibration, the clearance between the rotating blade tip and the casing is another key indicator that reflects the working performance and operation safety of the aero-engine. At present, tip vibration and clearance measurement are implemented by two separate measurement systems, i.e., blade tip timing (BTT) and blade tip clearance (BTC) systems. Two separate systems greatly increase the cost and risk of rotating blade condition monitoring and make it prohibitive to install them in aero-engine. Consequently, it is urgently needed to simplify the measurement system. In this paper, we provide new insights into the potential for capacitive probe-based measurement system's use as a simultaneous measurement for BTC and BTT. Specifically, we use dual capacitive probes to record the original voltage waveforms. Subsequently, from the voltage waveforms, we derived the BTT and BTC signal based on a constant proportion threshold and a calibration, separately. Experiment results demonstrated the derived BTT and BTC signals contain the tip vibration and tip clearance information, and show the feasibility of simultaneous measurement for tip clearance and vibration signals based on capacitive probes.
AB - Rotating blade is a critical but fragile component in the aero-engine. Due to harsh working conditions like high rotation speed, and heavy load, rotating blades are prone to failures, which endanger the operation safety of turbomachinery; thus, it is important to detect incipient failure in time by monitoring the blade tip vibration. In addition to blade vibration, the clearance between the rotating blade tip and the casing is another key indicator that reflects the working performance and operation safety of the aero-engine. At present, tip vibration and clearance measurement are implemented by two separate measurement systems, i.e., blade tip timing (BTT) and blade tip clearance (BTC) systems. Two separate systems greatly increase the cost and risk of rotating blade condition monitoring and make it prohibitive to install them in aero-engine. Consequently, it is urgently needed to simplify the measurement system. In this paper, we provide new insights into the potential for capacitive probe-based measurement system's use as a simultaneous measurement for BTC and BTT. Specifically, we use dual capacitive probes to record the original voltage waveforms. Subsequently, from the voltage waveforms, we derived the BTT and BTC signal based on a constant proportion threshold and a calibration, separately. Experiment results demonstrated the derived BTT and BTC signals contain the tip vibration and tip clearance information, and show the feasibility of simultaneous measurement for tip clearance and vibration signals based on capacitive probes.
KW - Blade tip clearance
KW - Blade tip timing
KW - Capacitive probe
KW - Simultaneous measurement
UR - https://www.scopus.com/pages/publications/85191448414
U2 - 10.1109/ICSMD60522.2023.10490558
DO - 10.1109/ICSMD60522.2023.10490558
M3 - 会议稿件
AN - SCOPUS:85191448414
T3 - ICSMD 2023 - International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, Proceedings
BT - ICSMD 2023 - International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023
Y2 - 2 November 2023 through 4 November 2023
ER -