这个方法采用了叶型升力曲线的非线性理论和多流管的理论模型，并对展弦比的影响进行了修正，从而具有广泛的适用性。

Since this method adopts non-linearized theory of the lift coefficient curve of the blade section and multiple streamtube model, and has revised the aspect ratio influence, so it has wide suitability.

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针对轴向柱塞泵故障特征的模糊性和不完备性特点，提出一种多特征信息融合与贝叶斯网络相结合的故障诊断方法。

Aiming at the fuzzy and incomplete nature of fault characteristics of axial piston pump, a method of Bayesian networks and multi-characteristic information fusion was proposed.

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