Abstract: This study presents a digital assessment method for the dynamic run-in quality of an antenna pedestal based on vibration and noise. Vibration and noise sensors were strategically installed in the servo drive system of the antenna pedestal to collect vibration acceleration and noise signals in real-time during the dynamic run-in process. Signal processing techniques, including moving average, time-domain synchronous averaging, and wavelet threshold denoising algorithms, were employed to effectively process the vibration acceleration and noise signals. A digital assessment system for the dynamic run-in quality of the antenna pedestal was developed using LabVIEW. Experiments were conducted on a specific type of antenna pedestal under different rotational speeds to analyze the vibration acceleration and noise signals in the time domain. The vibration acceleration and sound pressure level indices were simultaneously evaluated. The experimental results demonstrated that the antenna pedestal exhibited low overall vibration energy, a smooth dynamic run-in process, and good engagement of the servo drive system. The dynamic run-in quality of the antenna pedestal met the required standards. Additionally, the results validated the effectiveness of the digital assessment system for dynamic run-in quality, providing a scientific basis for evaluating the dynamic run-in quality of antenna pedestals.