To address the issue of multiple sensor requirements in current blade tip timing (BTT) techniques

which limit their practicality

this study proposes a strategy for identifying the blade natural frequency using a single sensor without prior knowledge by investigating the aliasing pattern in single-sensor BTT signals. The strategy involves time-frequency analysis of variable-speed BTT signals

projecting the time-frequency diagram onto the frequency axis

and performing peak searching on the projected diagram to identify the blade’s natural frequency using a single sensor without prior knowledge. Simulation and experimental results demonstrate the feasibility and effectiveness of the proposed identification strategy. Compared with traditional identification methods

this approach has the ability to filter out synchronous components and offers a new solution for the application of low-intrusion BTT techniques.