空化引起的载荷脉动是泵振动的主要根源，其激振源的辨识对于泵振动控制至关重要。针对某前置导叶非均匀尾流干扰引起的泵叶片空化开展了水洞试验与数值模拟研究，提出了基于二阶统计量的激振源辨识方法，该方法将具有物理因果关系的叶片载荷分布与整体受力相关联，结合模态分解可以有效揭示具有主导能量贡献度的泵叶片空化激振的载荷分布。结果表明，来流冲角时空特性对叶片空化发展和分布起主要的调控作用。带幅值的相关性模态能够表征能量贡献度，无量纲的相关性系数模态能够表征变量相似性。空化时，基于二阶统计量的激振源辨识发现整体叶片中部至根部均对推力脉动有较大贡献，受低频主导，而一阶统计量仅能提取前缘空化自身诱发的载荷脉动。

Cavitation-induced loading oscillations are mainly responsible for the pump vibration, the excitation source identification of which is critical for the control of pump vibration. The water-tunnel experiments and numerical simulations are conducted to study the pump cavitation under the wake flow perturbation of inlet guide vanes. Meanwhile, an excitation source identification method based on second-order statistics is proposed, which connects the blade loading distribution and the overall thrust considering physical causality. Combined with the mode decomposition, the loading distribution of pump cavitation with a dominant energy contribution can be effectively revealed. The results showed that the temporal-spatial characteristics of inflow incidence angle largely regulate the development and distribution of blade cavitation. The correlation modes with amplitude can represent the energy contribution. The normalized correlation modes can represent the similarity between variables. For the cavitation condition, it is found that the whole part from the blade middle to the hub contributes much to the thrust oscillations through excitation source identification based on the second-order statistics, which is dominated by low frequency. However, only the cavitation-induced loading oscillations can be extracted by first-order statistics.