Waveform Prediction of Blade Tip-Timing Sensor Based on Kriging Model and Static Calibration Data

Blade tip clearance is an important parameter affecting the efficiency, stability, and safety of aero-engines. During high-speed rotation blade, blade changes, which leads to changes in signal amplitude collected by timing sensor. When rotor rotating at high speed, it impractical measure tip-timing under each clearance. Aiming previous problems, a prediction method sensor waveform based on combination Kriging model static calibration data are proposed. The relationship between output voltage angle cutting magnetic line obtained collecting calibration. Based experimental compared with polynomial fit RBF model, accuracy predicting was verified. results show that basically same as but has more advantages when unknown. In contrast, lower than models, prone significant errors.