<p>Rotating blade vibration monitoring is crucial for ensuring the safe operation of turbomachinery. The blade tip timing (BTT) technique can detect all blade vibrations; due to the limitations of sensor installation in engineering testing, it is difficult to meet the BTT measurement requirements. The flow field dynamic pressure testing can monitor high-frequency blade vibration with limited sensor information, which is a necessary part of compressor testing. To extract blade synchronous vibration information from the dynamic pressure signals, this study develops a blade vibration parameter identification method based on the fusion analysis of dynamic pressure signals and BTT signals. The blade resonance is identified by the cross-covariance index of the dynamic pressure signal and the amplitude trend of the blade passing frequency (BPF). Simultaneously using the order based modal analysis (OBMA) method to identify frequency and engine order (EO) parameters. Finally, the compressed sensing method is used to identify the blade vibration amplitude from a single BTT sensor data. Fusing BTT and dynamic pressure measurement to obtain all vibration parameters of rotating blades. The feasibility of the proposed method is verified through simulation and experiments. This method can be used to monitor synchronous vibration of rotating blades, requiring one BTT sensor and two dynamic pressure sensors.</p>