Rocket fault feature extraction based on time-frequency analysis

To obtain more valuable information from rocket flight test data as much as possible, a fault feature extraction model was proposed to the need of rocket vibration analysis. 3D Fourier spectrum was constucted to analyze the time-varying trend of entire observation signal efficiently. Standard and fast algorithm of Wigner-Ville distribution was studied to describe the frequency spectrum of interesting data segments accurately. The model and methods were illustrated on rocket telemetry data. The results prove the model-s direct-vision, high efficiency, and accuracy. It-s of great significance for designing a rocket with high reliability and performance to analyze the flight test data more deeply, based on time-frequency analysis methods.