Statistical Approach for BTT probes distribution

0574071 - ÚT 2024 RIV CZ eng C - Conference Paper (international conference)
Mekhalfia, Mohammed Lamine - Procházka, Pavel - Šmíd, R. - Tchawou Tchuisseu, Eder Batista
Statistical Approach for BTT probes distribution.
Proceedings of 2nd Student Conference on Sensors, Systems and Measurement 2023. Prague: The Czech Technical University in Prague, 2023, s. 16-17. ISBN 978-80-01-07169-4.
[Proceedings of Student Conference on Sensors, Systems and Measurement 2023 /2./. ČVUT (CZ), 15.06.2023-15.06.2023]
Grant - others:AV ČR(CZ) StrategieAV21/3
Program: StrategieAV
Institutional support: RVO:61388998
Keywords : blade tip timing principle * RMSE * blade´s dynamics
OECD category: Applied mechanics
https://scssm-fel-cvut-cz.translate.goog/history/?_x_tr_sl=en&_x_tr_tl=cs&_x_tr_hl=cs&_x_tr_pto=sc

Blade tip timing (BTT) system is a non-invasive method used for measuring the blade tip timing of rotating machinery. The BTT system typically consists of sensor probes, signal conditioning system, and data acquisition unit. The sensor probes are placed in proximity to the rotating blade tips, Sensors measure the time at which each blade passes by the probe. By measuring the blade tip timing, the BTT system can detect changes in the blade tip vibration, which is an important for the health monitoring and performance optimization of rotating machinery [1]. To ensure accurate measurement of blade tip timing, the probe arrangement is crucial. The placement of the probe relative to the blade tips can affect the measurement accuracy, and thus, several arrangement algorithms have been developed to optimize the placement of the probes. Instead of considering the condition number, a statistical algorithms is followed to optimize the placement of probes for accurate measurement of blade tip timing in turbo-machinery. The statistical approach will be employed to determine the optimal locations for probes, with the aim of reducing errors in the measurement of blade tip timing.

Permanent Link: https://hdl.handle.net/11104/0344633