Abstract
Purpose
Blade tip timing (BTT) is a promising non-contact method for the measurements of blade tip displacement in turbo-machinery. Despite the advantages, this method offers, one of its drawbacks is the highly under-sampled data measured. The quality of these data depends on the position of the probes in the engine casing. This work aims to determine the placement of the probes for which the highest quality of data, hence the best accuracy of the vibration parameters are obtained.
Methods
Thus, the present work proposes a statistical BTT method based on the minimization of some statistical variables to determine the placement of the probes.
Results
This work presents a defined number of probes, which of the regular and irregular probe arrangement leads to the determination of vibration parameters with higher accuracy. It is found that mostly all the subsets with probes irregularly spaced are the ones giving a better accurate estimation of the amplitudes.
Conclusion
This work has proposed statistical methods of determination of the probes arrangement, based on the minimization of the RMSE in the case of synchronous vibrations and the combination of synchronous and asynchronous vibrations. In addition, we have shown statistically that in almost all the scenarios considered, the irregular probe placements are the ones for which the vibration parameters are obtained with the highest accuracy.
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Abbreviations
- TOA:
-
Time of arrival
- BTT:
-
Blade tip timing
- RMSE:
-
Root-mean-square error
- Std:
-
Standard deviation
- bi:
-
Bias
- \(N_{\text {reg}}\) :
-
Number of regular
- \(N_{\text {irreg}}\) :
-
Number of irregular
- \(N_{\text {up}}\) :
-
Number of upper half probes
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Funding
The European Regional Development Fund under Grant No. CZ.02.1.02 /0.0/0.0/15003/0000493, “CENDYNMAT - Centre of Excellence for Nonlinear Dynamics Behaviour of Advanced Materials in Engineering”; Clean Sky 2 under Grant EU H2020 BATISTA No. 862034 “Blade Tip Timing System Validator”; Academy of Sciences CR under Grant Strategy AV21, VP03: “Efficient energy conversion and storage, Vibrodiagnostics of rotating blades of rotary machines in power engineering”.
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Tchawou Tchuisseu, E.B., Procházka, P., Mekhalfia, M.L. et al. New Numerical and Statistical Determination of Probes’ Arrangement in Turbo-machinery. J. Vib. Eng. Technol. 11, 2025–2035 (2023). https://doi.org/10.1007/s42417-022-00685-8
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DOI: https://doi.org/10.1007/s42417-022-00685-8