Bladed Disk Vibration Dynamics
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Abstract
Abstract
Abstract Rotating blades are critical components in aero-engines and fan systems for lighter-than-air vehicles. Reliable condition monitoring is essential, yet speed fluctuations often compromise measurement accuracy. To address the significant errors of Traditional Blade Tip Timing (T-BTT) under such fluctuations, this paper proposes a Convolution-based BTT (C-BTT) method. By decoupling the Theoretical Time of Arrival (T-ToA) from instantaneous speed calculations, the method effectively eliminates speed-induced errors. Numerical results show that C-BTT maintains a dimensionless error below 4×10^-4 rad across the full speed range. Additionally, convolution smoothing improves computational efficiency for real-time applications. Simulations and experiments demonstrate the effectiveness of C-BTT in various fluctuation scenarios, providing a robust basis for non-contact dynamic stress measurement.
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@article{Kang2026Improving,
title = {Improving blade vibration measurement during speed changes with a convolution-based blade tip timing method},
author = {Chen Kang and Yuxiao Shen and Wei Qu and Xi Zhang and Weimin Wang and Guoning Xu},
journal = {Measurement Science and Technology},
year = {2026},
doi = {10.1088/1361-6501/ae8d44},
url = {https://doi.org/10.1088/1361-6501/ae8d44}
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